Developing RCM strategy for wind turbines utilizing e-condition monitoring
Abstract Renewable energy sources such as wind energy are available without any limitations. In order to extract this energy efficiency, the reliability of such technologies is critical if pay back periods and power generation requirements are to be met. Due to recent developments in the field of wi...
Ausführliche Beschreibung
Autor*in: |
Singh, Sarbjeet [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2014 |
---|
Schlagwörter: |
---|
Anmerkung: |
© The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2014 |
---|
Übergeordnetes Werk: |
Enthalten in: International Journal of Systems Assurance Engineering and Management - Springer-Verlag, 2010, 6(2014), 2 vom: 06. Mai, Seite 150-156 |
---|---|
Übergeordnetes Werk: |
volume:6 ; year:2014 ; number:2 ; day:06 ; month:05 ; pages:150-156 |
Links: |
---|
DOI / URN: |
10.1007/s13198-014-0259-9 |
---|
Katalog-ID: |
SPR031249574 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | SPR031249574 | ||
003 | DE-627 | ||
005 | 20230331061313.0 | ||
007 | cr uuu---uuuuu | ||
008 | 201007s2014 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1007/s13198-014-0259-9 |2 doi | |
035 | |a (DE-627)SPR031249574 | ||
035 | |a (SPR)s13198-014-0259-9-e | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 1 | |a Singh, Sarbjeet |e verfasserin |4 aut | |
245 | 1 | 0 | |a Developing RCM strategy for wind turbines utilizing e-condition monitoring |
264 | 1 | |c 2014 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
500 | |a © The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2014 | ||
520 | |a Abstract Renewable energy sources such as wind energy are available without any limitations. In order to extract this energy efficiency, the reliability of such technologies is critical if pay back periods and power generation requirements are to be met. Due to recent developments in the field of wind engineering and in particular the expansion of installed capacity around the world, the need for reliable and intelligent diagnostic tools is of greater importance. The number of offshore wind turbines installed in the seas around Britain’s coasts is likely to increase from just fewer than 150–7,500 over the next 10 years with the potential cost of £10 billion. Operation and Maintenance activities are estimated to be 35 % against the cost of electricity. However, the development of appropriate and efficient maintenance strategies is currently lacking in the wind industry. The current reliability and failure modes of offshore wind turbines are known and have been used to develop preventive and corrective maintenance strategies which have done little to improve reliability. In addition, the failure of one minor component can cause escalated damage to a major component, which can increase repair and or replacement costs. A reliability centered maintenance (RCM) approach offers considerable benefit to the management of wind turbine operations since it includes an appreciation of the impact of faults on operations. Due to the high costs involved in performing maintenance and the even higher costs associated with failures and subsequent downtime and repair, it is critical that the impacts are considered when maintenance is planned. This paper provides an overview of the application of RCM and on line e-condition monitoring to wind turbine maintenance management. Unplanned maintenance levels can be reduced by increasing the reliability of the gear box and individual gears through the analysis of lubricants. Finally the paper will discuss the development of a complete sensor-based processing unit that can continuously monitor the wind turbines lubricated systems and provide, via wireless technology, real time data enabling on shore staff with the ability to predict degradation anticipate problems and take remedial action before damage and failure occurs. | ||
650 | 4 | |a E-maintenance |7 (dpeaa)DE-He213 | |
650 | 4 | |a RCM |7 (dpeaa)DE-He213 | |
650 | 4 | |a Wind turbines |7 (dpeaa)DE-He213 | |
650 | 4 | |a Gearboxes |7 (dpeaa)DE-He213 | |
650 | 4 | |a Oil analysis |7 (dpeaa)DE-He213 | |
700 | 1 | |a Baglee, David |4 aut | |
700 | 1 | |a Michael, Knowles |4 aut | |
700 | 1 | |a Galar, Diego |4 aut | |
773 | 0 | 8 | |i Enthalten in |t International Journal of Systems Assurance Engineering and Management |d Springer-Verlag, 2010 |g 6(2014), 2 vom: 06. Mai, Seite 150-156 |w (DE-627)SPR031222420 |7 nnns |
773 | 1 | 8 | |g volume:6 |g year:2014 |g number:2 |g day:06 |g month:05 |g pages:150-156 |
856 | 4 | 0 | |u https://dx.doi.org/10.1007/s13198-014-0259-9 |z lizenzpflichtig |3 Volltext |
912 | |a GBV_USEFLAG_A | ||
912 | |a SYSFLAG_A | ||
912 | |a GBV_SPRINGER | ||
951 | |a AR | ||
952 | |d 6 |j 2014 |e 2 |b 06 |c 05 |h 150-156 |
author_variant |
s s ss d b db k m km d g dg |
---|---|
matchkey_str |
singhsarbjeetbagleedavidmichaelknowlesga:2014----:eeoigcsrtgfridubnstlzneo |
hierarchy_sort_str |
2014 |
publishDate |
2014 |
allfields |
10.1007/s13198-014-0259-9 doi (DE-627)SPR031249574 (SPR)s13198-014-0259-9-e DE-627 ger DE-627 rakwb eng Singh, Sarbjeet verfasserin aut Developing RCM strategy for wind turbines utilizing e-condition monitoring 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2014 Abstract Renewable energy sources such as wind energy are available without any limitations. In order to extract this energy efficiency, the reliability of such technologies is critical if pay back periods and power generation requirements are to be met. Due to recent developments in the field of wind engineering and in particular the expansion of installed capacity around the world, the need for reliable and intelligent diagnostic tools is of greater importance. The number of offshore wind turbines installed in the seas around Britain’s coasts is likely to increase from just fewer than 150–7,500 over the next 10 years with the potential cost of £10 billion. Operation and Maintenance activities are estimated to be 35 % against the cost of electricity. However, the development of appropriate and efficient maintenance strategies is currently lacking in the wind industry. The current reliability and failure modes of offshore wind turbines are known and have been used to develop preventive and corrective maintenance strategies which have done little to improve reliability. In addition, the failure of one minor component can cause escalated damage to a major component, which can increase repair and or replacement costs. A reliability centered maintenance (RCM) approach offers considerable benefit to the management of wind turbine operations since it includes an appreciation of the impact of faults on operations. Due to the high costs involved in performing maintenance and the even higher costs associated with failures and subsequent downtime and repair, it is critical that the impacts are considered when maintenance is planned. This paper provides an overview of the application of RCM and on line e-condition monitoring to wind turbine maintenance management. Unplanned maintenance levels can be reduced by increasing the reliability of the gear box and individual gears through the analysis of lubricants. Finally the paper will discuss the development of a complete sensor-based processing unit that can continuously monitor the wind turbines lubricated systems and provide, via wireless technology, real time data enabling on shore staff with the ability to predict degradation anticipate problems and take remedial action before damage and failure occurs. E-maintenance (dpeaa)DE-He213 RCM (dpeaa)DE-He213 Wind turbines (dpeaa)DE-He213 Gearboxes (dpeaa)DE-He213 Oil analysis (dpeaa)DE-He213 Baglee, David aut Michael, Knowles aut Galar, Diego aut Enthalten in International Journal of Systems Assurance Engineering and Management Springer-Verlag, 2010 6(2014), 2 vom: 06. Mai, Seite 150-156 (DE-627)SPR031222420 nnns volume:6 year:2014 number:2 day:06 month:05 pages:150-156 https://dx.doi.org/10.1007/s13198-014-0259-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 6 2014 2 06 05 150-156 |
spelling |
10.1007/s13198-014-0259-9 doi (DE-627)SPR031249574 (SPR)s13198-014-0259-9-e DE-627 ger DE-627 rakwb eng Singh, Sarbjeet verfasserin aut Developing RCM strategy for wind turbines utilizing e-condition monitoring 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2014 Abstract Renewable energy sources such as wind energy are available without any limitations. In order to extract this energy efficiency, the reliability of such technologies is critical if pay back periods and power generation requirements are to be met. Due to recent developments in the field of wind engineering and in particular the expansion of installed capacity around the world, the need for reliable and intelligent diagnostic tools is of greater importance. The number of offshore wind turbines installed in the seas around Britain’s coasts is likely to increase from just fewer than 150–7,500 over the next 10 years with the potential cost of £10 billion. Operation and Maintenance activities are estimated to be 35 % against the cost of electricity. However, the development of appropriate and efficient maintenance strategies is currently lacking in the wind industry. The current reliability and failure modes of offshore wind turbines are known and have been used to develop preventive and corrective maintenance strategies which have done little to improve reliability. In addition, the failure of one minor component can cause escalated damage to a major component, which can increase repair and or replacement costs. A reliability centered maintenance (RCM) approach offers considerable benefit to the management of wind turbine operations since it includes an appreciation of the impact of faults on operations. Due to the high costs involved in performing maintenance and the even higher costs associated with failures and subsequent downtime and repair, it is critical that the impacts are considered when maintenance is planned. This paper provides an overview of the application of RCM and on line e-condition monitoring to wind turbine maintenance management. Unplanned maintenance levels can be reduced by increasing the reliability of the gear box and individual gears through the analysis of lubricants. Finally the paper will discuss the development of a complete sensor-based processing unit that can continuously monitor the wind turbines lubricated systems and provide, via wireless technology, real time data enabling on shore staff with the ability to predict degradation anticipate problems and take remedial action before damage and failure occurs. E-maintenance (dpeaa)DE-He213 RCM (dpeaa)DE-He213 Wind turbines (dpeaa)DE-He213 Gearboxes (dpeaa)DE-He213 Oil analysis (dpeaa)DE-He213 Baglee, David aut Michael, Knowles aut Galar, Diego aut Enthalten in International Journal of Systems Assurance Engineering and Management Springer-Verlag, 2010 6(2014), 2 vom: 06. Mai, Seite 150-156 (DE-627)SPR031222420 nnns volume:6 year:2014 number:2 day:06 month:05 pages:150-156 https://dx.doi.org/10.1007/s13198-014-0259-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 6 2014 2 06 05 150-156 |
allfields_unstemmed |
10.1007/s13198-014-0259-9 doi (DE-627)SPR031249574 (SPR)s13198-014-0259-9-e DE-627 ger DE-627 rakwb eng Singh, Sarbjeet verfasserin aut Developing RCM strategy for wind turbines utilizing e-condition monitoring 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2014 Abstract Renewable energy sources such as wind energy are available without any limitations. In order to extract this energy efficiency, the reliability of such technologies is critical if pay back periods and power generation requirements are to be met. Due to recent developments in the field of wind engineering and in particular the expansion of installed capacity around the world, the need for reliable and intelligent diagnostic tools is of greater importance. The number of offshore wind turbines installed in the seas around Britain’s coasts is likely to increase from just fewer than 150–7,500 over the next 10 years with the potential cost of £10 billion. Operation and Maintenance activities are estimated to be 35 % against the cost of electricity. However, the development of appropriate and efficient maintenance strategies is currently lacking in the wind industry. The current reliability and failure modes of offshore wind turbines are known and have been used to develop preventive and corrective maintenance strategies which have done little to improve reliability. In addition, the failure of one minor component can cause escalated damage to a major component, which can increase repair and or replacement costs. A reliability centered maintenance (RCM) approach offers considerable benefit to the management of wind turbine operations since it includes an appreciation of the impact of faults on operations. Due to the high costs involved in performing maintenance and the even higher costs associated with failures and subsequent downtime and repair, it is critical that the impacts are considered when maintenance is planned. This paper provides an overview of the application of RCM and on line e-condition monitoring to wind turbine maintenance management. Unplanned maintenance levels can be reduced by increasing the reliability of the gear box and individual gears through the analysis of lubricants. Finally the paper will discuss the development of a complete sensor-based processing unit that can continuously monitor the wind turbines lubricated systems and provide, via wireless technology, real time data enabling on shore staff with the ability to predict degradation anticipate problems and take remedial action before damage and failure occurs. E-maintenance (dpeaa)DE-He213 RCM (dpeaa)DE-He213 Wind turbines (dpeaa)DE-He213 Gearboxes (dpeaa)DE-He213 Oil analysis (dpeaa)DE-He213 Baglee, David aut Michael, Knowles aut Galar, Diego aut Enthalten in International Journal of Systems Assurance Engineering and Management Springer-Verlag, 2010 6(2014), 2 vom: 06. Mai, Seite 150-156 (DE-627)SPR031222420 nnns volume:6 year:2014 number:2 day:06 month:05 pages:150-156 https://dx.doi.org/10.1007/s13198-014-0259-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 6 2014 2 06 05 150-156 |
allfieldsGer |
10.1007/s13198-014-0259-9 doi (DE-627)SPR031249574 (SPR)s13198-014-0259-9-e DE-627 ger DE-627 rakwb eng Singh, Sarbjeet verfasserin aut Developing RCM strategy for wind turbines utilizing e-condition monitoring 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2014 Abstract Renewable energy sources such as wind energy are available without any limitations. In order to extract this energy efficiency, the reliability of such technologies is critical if pay back periods and power generation requirements are to be met. Due to recent developments in the field of wind engineering and in particular the expansion of installed capacity around the world, the need for reliable and intelligent diagnostic tools is of greater importance. The number of offshore wind turbines installed in the seas around Britain’s coasts is likely to increase from just fewer than 150–7,500 over the next 10 years with the potential cost of £10 billion. Operation and Maintenance activities are estimated to be 35 % against the cost of electricity. However, the development of appropriate and efficient maintenance strategies is currently lacking in the wind industry. The current reliability and failure modes of offshore wind turbines are known and have been used to develop preventive and corrective maintenance strategies which have done little to improve reliability. In addition, the failure of one minor component can cause escalated damage to a major component, which can increase repair and or replacement costs. A reliability centered maintenance (RCM) approach offers considerable benefit to the management of wind turbine operations since it includes an appreciation of the impact of faults on operations. Due to the high costs involved in performing maintenance and the even higher costs associated with failures and subsequent downtime and repair, it is critical that the impacts are considered when maintenance is planned. This paper provides an overview of the application of RCM and on line e-condition monitoring to wind turbine maintenance management. Unplanned maintenance levels can be reduced by increasing the reliability of the gear box and individual gears through the analysis of lubricants. Finally the paper will discuss the development of a complete sensor-based processing unit that can continuously monitor the wind turbines lubricated systems and provide, via wireless technology, real time data enabling on shore staff with the ability to predict degradation anticipate problems and take remedial action before damage and failure occurs. E-maintenance (dpeaa)DE-He213 RCM (dpeaa)DE-He213 Wind turbines (dpeaa)DE-He213 Gearboxes (dpeaa)DE-He213 Oil analysis (dpeaa)DE-He213 Baglee, David aut Michael, Knowles aut Galar, Diego aut Enthalten in International Journal of Systems Assurance Engineering and Management Springer-Verlag, 2010 6(2014), 2 vom: 06. Mai, Seite 150-156 (DE-627)SPR031222420 nnns volume:6 year:2014 number:2 day:06 month:05 pages:150-156 https://dx.doi.org/10.1007/s13198-014-0259-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 6 2014 2 06 05 150-156 |
allfieldsSound |
10.1007/s13198-014-0259-9 doi (DE-627)SPR031249574 (SPR)s13198-014-0259-9-e DE-627 ger DE-627 rakwb eng Singh, Sarbjeet verfasserin aut Developing RCM strategy for wind turbines utilizing e-condition monitoring 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2014 Abstract Renewable energy sources such as wind energy are available without any limitations. In order to extract this energy efficiency, the reliability of such technologies is critical if pay back periods and power generation requirements are to be met. Due to recent developments in the field of wind engineering and in particular the expansion of installed capacity around the world, the need for reliable and intelligent diagnostic tools is of greater importance. The number of offshore wind turbines installed in the seas around Britain’s coasts is likely to increase from just fewer than 150–7,500 over the next 10 years with the potential cost of £10 billion. Operation and Maintenance activities are estimated to be 35 % against the cost of electricity. However, the development of appropriate and efficient maintenance strategies is currently lacking in the wind industry. The current reliability and failure modes of offshore wind turbines are known and have been used to develop preventive and corrective maintenance strategies which have done little to improve reliability. In addition, the failure of one minor component can cause escalated damage to a major component, which can increase repair and or replacement costs. A reliability centered maintenance (RCM) approach offers considerable benefit to the management of wind turbine operations since it includes an appreciation of the impact of faults on operations. Due to the high costs involved in performing maintenance and the even higher costs associated with failures and subsequent downtime and repair, it is critical that the impacts are considered when maintenance is planned. This paper provides an overview of the application of RCM and on line e-condition monitoring to wind turbine maintenance management. Unplanned maintenance levels can be reduced by increasing the reliability of the gear box and individual gears through the analysis of lubricants. Finally the paper will discuss the development of a complete sensor-based processing unit that can continuously monitor the wind turbines lubricated systems and provide, via wireless technology, real time data enabling on shore staff with the ability to predict degradation anticipate problems and take remedial action before damage and failure occurs. E-maintenance (dpeaa)DE-He213 RCM (dpeaa)DE-He213 Wind turbines (dpeaa)DE-He213 Gearboxes (dpeaa)DE-He213 Oil analysis (dpeaa)DE-He213 Baglee, David aut Michael, Knowles aut Galar, Diego aut Enthalten in International Journal of Systems Assurance Engineering and Management Springer-Verlag, 2010 6(2014), 2 vom: 06. Mai, Seite 150-156 (DE-627)SPR031222420 nnns volume:6 year:2014 number:2 day:06 month:05 pages:150-156 https://dx.doi.org/10.1007/s13198-014-0259-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 6 2014 2 06 05 150-156 |
language |
English |
source |
Enthalten in International Journal of Systems Assurance Engineering and Management 6(2014), 2 vom: 06. Mai, Seite 150-156 volume:6 year:2014 number:2 day:06 month:05 pages:150-156 |
sourceStr |
Enthalten in International Journal of Systems Assurance Engineering and Management 6(2014), 2 vom: 06. Mai, Seite 150-156 volume:6 year:2014 number:2 day:06 month:05 pages:150-156 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
E-maintenance RCM Wind turbines Gearboxes Oil analysis |
isfreeaccess_bool |
false |
container_title |
International Journal of Systems Assurance Engineering and Management |
authorswithroles_txt_mv |
Singh, Sarbjeet @@aut@@ Baglee, David @@aut@@ Michael, Knowles @@aut@@ Galar, Diego @@aut@@ |
publishDateDaySort_date |
2014-05-06T00:00:00Z |
hierarchy_top_id |
SPR031222420 |
id |
SPR031249574 |
language_de |
englisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR031249574</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230331061313.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2014 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s13198-014-0259-9</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR031249574</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s13198-014-0259-9-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Singh, Sarbjeet</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Developing RCM strategy for wind turbines utilizing e-condition monitoring</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2014</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2014</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Renewable energy sources such as wind energy are available without any limitations. In order to extract this energy efficiency, the reliability of such technologies is critical if pay back periods and power generation requirements are to be met. Due to recent developments in the field of wind engineering and in particular the expansion of installed capacity around the world, the need for reliable and intelligent diagnostic tools is of greater importance. The number of offshore wind turbines installed in the seas around Britain’s coasts is likely to increase from just fewer than 150–7,500 over the next 10 years with the potential cost of £10 billion. Operation and Maintenance activities are estimated to be 35 % against the cost of electricity. However, the development of appropriate and efficient maintenance strategies is currently lacking in the wind industry. The current reliability and failure modes of offshore wind turbines are known and have been used to develop preventive and corrective maintenance strategies which have done little to improve reliability. In addition, the failure of one minor component can cause escalated damage to a major component, which can increase repair and or replacement costs. A reliability centered maintenance (RCM) approach offers considerable benefit to the management of wind turbine operations since it includes an appreciation of the impact of faults on operations. Due to the high costs involved in performing maintenance and the even higher costs associated with failures and subsequent downtime and repair, it is critical that the impacts are considered when maintenance is planned. This paper provides an overview of the application of RCM and on line e-condition monitoring to wind turbine maintenance management. Unplanned maintenance levels can be reduced by increasing the reliability of the gear box and individual gears through the analysis of lubricants. Finally the paper will discuss the development of a complete sensor-based processing unit that can continuously monitor the wind turbines lubricated systems and provide, via wireless technology, real time data enabling on shore staff with the ability to predict degradation anticipate problems and take remedial action before damage and failure occurs.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">E-maintenance</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">RCM</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Wind turbines</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Gearboxes</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Oil analysis</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Baglee, David</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Michael, Knowles</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Galar, Diego</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">International Journal of Systems Assurance Engineering and Management</subfield><subfield code="d">Springer-Verlag, 2010</subfield><subfield code="g">6(2014), 2 vom: 06. Mai, Seite 150-156</subfield><subfield code="w">(DE-627)SPR031222420</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:6</subfield><subfield code="g">year:2014</subfield><subfield code="g">number:2</subfield><subfield code="g">day:06</subfield><subfield code="g">month:05</subfield><subfield code="g">pages:150-156</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s13198-014-0259-9</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">6</subfield><subfield code="j">2014</subfield><subfield code="e">2</subfield><subfield code="b">06</subfield><subfield code="c">05</subfield><subfield code="h">150-156</subfield></datafield></record></collection>
|
author |
Singh, Sarbjeet |
spellingShingle |
Singh, Sarbjeet misc E-maintenance misc RCM misc Wind turbines misc Gearboxes misc Oil analysis Developing RCM strategy for wind turbines utilizing e-condition monitoring |
authorStr |
Singh, Sarbjeet |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)SPR031222420 |
format |
electronic Article |
delete_txt_mv |
keep |
author_role |
aut aut aut aut |
collection |
springer |
remote_str |
true |
illustrated |
Not Illustrated |
topic_title |
Developing RCM strategy for wind turbines utilizing e-condition monitoring E-maintenance (dpeaa)DE-He213 RCM (dpeaa)DE-He213 Wind turbines (dpeaa)DE-He213 Gearboxes (dpeaa)DE-He213 Oil analysis (dpeaa)DE-He213 |
topic |
misc E-maintenance misc RCM misc Wind turbines misc Gearboxes misc Oil analysis |
topic_unstemmed |
misc E-maintenance misc RCM misc Wind turbines misc Gearboxes misc Oil analysis |
topic_browse |
misc E-maintenance misc RCM misc Wind turbines misc Gearboxes misc Oil analysis |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
cr |
hierarchy_parent_title |
International Journal of Systems Assurance Engineering and Management |
hierarchy_parent_id |
SPR031222420 |
hierarchy_top_title |
International Journal of Systems Assurance Engineering and Management |
isfreeaccess_txt |
false |
familylinks_str_mv |
(DE-627)SPR031222420 |
title |
Developing RCM strategy for wind turbines utilizing e-condition monitoring |
ctrlnum |
(DE-627)SPR031249574 (SPR)s13198-014-0259-9-e |
title_full |
Developing RCM strategy for wind turbines utilizing e-condition monitoring |
author_sort |
Singh, Sarbjeet |
journal |
International Journal of Systems Assurance Engineering and Management |
journalStr |
International Journal of Systems Assurance Engineering and Management |
lang_code |
eng |
isOA_bool |
false |
recordtype |
marc |
publishDateSort |
2014 |
contenttype_str_mv |
txt |
container_start_page |
150 |
author_browse |
Singh, Sarbjeet Baglee, David Michael, Knowles Galar, Diego |
container_volume |
6 |
format_se |
Elektronische Aufsätze |
author-letter |
Singh, Sarbjeet |
doi_str_mv |
10.1007/s13198-014-0259-9 |
title_sort |
developing rcm strategy for wind turbines utilizing e-condition monitoring |
title_auth |
Developing RCM strategy for wind turbines utilizing e-condition monitoring |
abstract |
Abstract Renewable energy sources such as wind energy are available without any limitations. In order to extract this energy efficiency, the reliability of such technologies is critical if pay back periods and power generation requirements are to be met. Due to recent developments in the field of wind engineering and in particular the expansion of installed capacity around the world, the need for reliable and intelligent diagnostic tools is of greater importance. The number of offshore wind turbines installed in the seas around Britain’s coasts is likely to increase from just fewer than 150–7,500 over the next 10 years with the potential cost of £10 billion. Operation and Maintenance activities are estimated to be 35 % against the cost of electricity. However, the development of appropriate and efficient maintenance strategies is currently lacking in the wind industry. The current reliability and failure modes of offshore wind turbines are known and have been used to develop preventive and corrective maintenance strategies which have done little to improve reliability. In addition, the failure of one minor component can cause escalated damage to a major component, which can increase repair and or replacement costs. A reliability centered maintenance (RCM) approach offers considerable benefit to the management of wind turbine operations since it includes an appreciation of the impact of faults on operations. Due to the high costs involved in performing maintenance and the even higher costs associated with failures and subsequent downtime and repair, it is critical that the impacts are considered when maintenance is planned. This paper provides an overview of the application of RCM and on line e-condition monitoring to wind turbine maintenance management. Unplanned maintenance levels can be reduced by increasing the reliability of the gear box and individual gears through the analysis of lubricants. Finally the paper will discuss the development of a complete sensor-based processing unit that can continuously monitor the wind turbines lubricated systems and provide, via wireless technology, real time data enabling on shore staff with the ability to predict degradation anticipate problems and take remedial action before damage and failure occurs. © The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2014 |
abstractGer |
Abstract Renewable energy sources such as wind energy are available without any limitations. In order to extract this energy efficiency, the reliability of such technologies is critical if pay back periods and power generation requirements are to be met. Due to recent developments in the field of wind engineering and in particular the expansion of installed capacity around the world, the need for reliable and intelligent diagnostic tools is of greater importance. The number of offshore wind turbines installed in the seas around Britain’s coasts is likely to increase from just fewer than 150–7,500 over the next 10 years with the potential cost of £10 billion. Operation and Maintenance activities are estimated to be 35 % against the cost of electricity. However, the development of appropriate and efficient maintenance strategies is currently lacking in the wind industry. The current reliability and failure modes of offshore wind turbines are known and have been used to develop preventive and corrective maintenance strategies which have done little to improve reliability. In addition, the failure of one minor component can cause escalated damage to a major component, which can increase repair and or replacement costs. A reliability centered maintenance (RCM) approach offers considerable benefit to the management of wind turbine operations since it includes an appreciation of the impact of faults on operations. Due to the high costs involved in performing maintenance and the even higher costs associated with failures and subsequent downtime and repair, it is critical that the impacts are considered when maintenance is planned. This paper provides an overview of the application of RCM and on line e-condition monitoring to wind turbine maintenance management. Unplanned maintenance levels can be reduced by increasing the reliability of the gear box and individual gears through the analysis of lubricants. Finally the paper will discuss the development of a complete sensor-based processing unit that can continuously monitor the wind turbines lubricated systems and provide, via wireless technology, real time data enabling on shore staff with the ability to predict degradation anticipate problems and take remedial action before damage and failure occurs. © The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2014 |
abstract_unstemmed |
Abstract Renewable energy sources such as wind energy are available without any limitations. In order to extract this energy efficiency, the reliability of such technologies is critical if pay back periods and power generation requirements are to be met. Due to recent developments in the field of wind engineering and in particular the expansion of installed capacity around the world, the need for reliable and intelligent diagnostic tools is of greater importance. The number of offshore wind turbines installed in the seas around Britain’s coasts is likely to increase from just fewer than 150–7,500 over the next 10 years with the potential cost of £10 billion. Operation and Maintenance activities are estimated to be 35 % against the cost of electricity. However, the development of appropriate and efficient maintenance strategies is currently lacking in the wind industry. The current reliability and failure modes of offshore wind turbines are known and have been used to develop preventive and corrective maintenance strategies which have done little to improve reliability. In addition, the failure of one minor component can cause escalated damage to a major component, which can increase repair and or replacement costs. A reliability centered maintenance (RCM) approach offers considerable benefit to the management of wind turbine operations since it includes an appreciation of the impact of faults on operations. Due to the high costs involved in performing maintenance and the even higher costs associated with failures and subsequent downtime and repair, it is critical that the impacts are considered when maintenance is planned. This paper provides an overview of the application of RCM and on line e-condition monitoring to wind turbine maintenance management. Unplanned maintenance levels can be reduced by increasing the reliability of the gear box and individual gears through the analysis of lubricants. Finally the paper will discuss the development of a complete sensor-based processing unit that can continuously monitor the wind turbines lubricated systems and provide, via wireless technology, real time data enabling on shore staff with the ability to predict degradation anticipate problems and take remedial action before damage and failure occurs. © The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2014 |
collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER |
container_issue |
2 |
title_short |
Developing RCM strategy for wind turbines utilizing e-condition monitoring |
url |
https://dx.doi.org/10.1007/s13198-014-0259-9 |
remote_bool |
true |
author2 |
Baglee, David Michael, Knowles Galar, Diego |
author2Str |
Baglee, David Michael, Knowles Galar, Diego |
ppnlink |
SPR031222420 |
mediatype_str_mv |
c |
isOA_txt |
false |
hochschulschrift_bool |
false |
doi_str |
10.1007/s13198-014-0259-9 |
up_date |
2024-07-03T22:51:01.670Z |
_version_ |
1803600067742924800 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR031249574</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230331061313.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2014 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s13198-014-0259-9</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR031249574</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s13198-014-0259-9-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Singh, Sarbjeet</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Developing RCM strategy for wind turbines utilizing e-condition monitoring</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2014</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2014</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Renewable energy sources such as wind energy are available without any limitations. In order to extract this energy efficiency, the reliability of such technologies is critical if pay back periods and power generation requirements are to be met. Due to recent developments in the field of wind engineering and in particular the expansion of installed capacity around the world, the need for reliable and intelligent diagnostic tools is of greater importance. The number of offshore wind turbines installed in the seas around Britain’s coasts is likely to increase from just fewer than 150–7,500 over the next 10 years with the potential cost of £10 billion. Operation and Maintenance activities are estimated to be 35 % against the cost of electricity. However, the development of appropriate and efficient maintenance strategies is currently lacking in the wind industry. The current reliability and failure modes of offshore wind turbines are known and have been used to develop preventive and corrective maintenance strategies which have done little to improve reliability. In addition, the failure of one minor component can cause escalated damage to a major component, which can increase repair and or replacement costs. A reliability centered maintenance (RCM) approach offers considerable benefit to the management of wind turbine operations since it includes an appreciation of the impact of faults on operations. Due to the high costs involved in performing maintenance and the even higher costs associated with failures and subsequent downtime and repair, it is critical that the impacts are considered when maintenance is planned. This paper provides an overview of the application of RCM and on line e-condition monitoring to wind turbine maintenance management. Unplanned maintenance levels can be reduced by increasing the reliability of the gear box and individual gears through the analysis of lubricants. Finally the paper will discuss the development of a complete sensor-based processing unit that can continuously monitor the wind turbines lubricated systems and provide, via wireless technology, real time data enabling on shore staff with the ability to predict degradation anticipate problems and take remedial action before damage and failure occurs.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">E-maintenance</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">RCM</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Wind turbines</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Gearboxes</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Oil analysis</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Baglee, David</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Michael, Knowles</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Galar, Diego</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">International Journal of Systems Assurance Engineering and Management</subfield><subfield code="d">Springer-Verlag, 2010</subfield><subfield code="g">6(2014), 2 vom: 06. Mai, Seite 150-156</subfield><subfield code="w">(DE-627)SPR031222420</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:6</subfield><subfield code="g">year:2014</subfield><subfield code="g">number:2</subfield><subfield code="g">day:06</subfield><subfield code="g">month:05</subfield><subfield code="g">pages:150-156</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s13198-014-0259-9</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">6</subfield><subfield code="j">2014</subfield><subfield code="e">2</subfield><subfield code="b">06</subfield><subfield code="c">05</subfield><subfield code="h">150-156</subfield></datafield></record></collection>
|
score |
7.4002647 |