Reliability Modeling of Wireless Sensor Network for Oil and Gas Pipelines Monitoring

Extensive network of pipelines carrying oil and gas is an integral part of any country’s energy management plan. As oil and gas are characterized as highly hazardous, their transportation through pipelines warrants proactive continuous monitoring. Unfortunately, there has been limited continuous mon...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Khalid EL-DARYMLI [verfasserIn] Faisal KHAN [verfasserIn] Mohamed H. AHMED [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2009

Schlagwörter:	Reliability modeling Wireless sensor networks Pipelines condition monitoring Wireless based condition monitoring

Übergeordnetes Werk:	In: Sensors & Transducers - IFSA Publishing, S.L., 2017, 106(2009), 7, Seite 6-26
Übergeordnetes Werk:	volume:106 ; year:2009 ; number:7 ; pages:6-26

Links:	Link aufrufen Link aufrufen Journal toc Journal toc

Katalog-ID:	DOAJ046073221

Internformat


LEADER	01000caa a22002652 4500
001	DOAJ046073221
003	DE-627
005	20230308102558.0
007	cr uuu---uuuuu
008	230227s2009 xx \|\|\|\|\|o 00\| \|\|eng c
035			\|a (DE-627)DOAJ046073221
035			\|a (DE-599)DOAJf11c6dab58d9429b94c7e3c3fab25b50
040			\|a DE-627 \|b ger \|c DE-627 \|e rakwb
041			\|a eng
050		0	\|a T1-995
100	0		\|a Khalid EL-DARYMLI \|e verfasserin \|4 aut
245	1	0	\|a Reliability Modeling of Wireless Sensor Network for Oil and Gas Pipelines Monitoring
264		1	\|c 2009
336			\|a Text \|b txt \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
338			\|a Online-Ressource \|b cr \|2 rdacarrier
520			\|a Extensive network of pipelines carrying oil and gas is an integral part of any country’s energy management plan. As oil and gas are characterized as highly hazardous, their transportation through pipelines warrants proactive continuous monitoring. Unfortunately, there has been limited continuous monitoring of this crucial infrastructure, which causes financial losses to the industry. This paper presents a wireless sensor network (WSN) system and its reliability assessment model for oil and gas pipelines condition monitoring. As a first step, a wireless sensor system for pipeline monitoring is selected. The selected system is revised for oil and gas application considering long distance transportation. Upon system development, a reliability model for the system is developed. A simple bottom-up approach is followed to analyze the reliability of the components, subsystem, and the system. Two explanatory examples are presented to demonstrate the applications of the selected system and developed reliability model. These examples help to better understand the interrelation between the reliabilities, the components and the system.
650		4	\|a Reliability modeling
650		4	\|a Wireless sensor networks
650		4	\|a Pipelines condition monitoring
650		4	\|a Wireless based condition monitoring
653		0	\|a Technology (General)
700	0		\|a Faisal KHAN \|e verfasserin \|4 aut
700	0		\|a Mohamed H. AHMED \|e verfasserin \|4 aut
773	0	8	\|i In \|t Sensors & Transducers \|d IFSA Publishing, S.L., 2017 \|g 106(2009), 7, Seite 6-26 \|w (DE-627)887864724 \|w (DE-600)2894997-3 \|x 17265479 \|7 nnns
773	1	8	\|g volume:106 \|g year:2009 \|g number:7 \|g pages:6-26
856	4	0	\|u https://doaj.org/article/f11c6dab58d9429b94c7e3c3fab25b50 \|z kostenfrei
856	4	0	\|u http://www.sensorsportal.com/HTML/DIGEST/july_09/P_455.pdf \|z kostenfrei
856	4	2	\|u https://doaj.org/toc/2306-8515 \|y Journal toc \|z kostenfrei
856	4	2	\|u https://doaj.org/toc/1726-5479 \|y Journal toc \|z kostenfrei
912			\|a GBV_USEFLAG_A
912			\|a SYSFLAG_A
912			\|a GBV_DOAJ
912			\|a GBV_ILN_20
912			\|a GBV_ILN_22
912			\|a GBV_ILN_23
912			\|a GBV_ILN_24
912			\|a GBV_ILN_31
912			\|a GBV_ILN_39
912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_70
912			\|a GBV_ILN_73
912			\|a GBV_ILN_95
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_151
912			\|a GBV_ILN_161
912			\|a GBV_ILN_170
912			\|a GBV_ILN_213
912			\|a GBV_ILN_230
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_2027
912			\|a GBV_ILN_4012
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4249
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4306
912			\|a GBV_ILN_4307
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4322
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4335
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4367
912			\|a GBV_ILN_4700
951			\|a AR
952			\|d 106 \|j 2009 \|e 7 \|h 6-26

Indexfelder

author_variant	k e d ked f k fk m h a mha
matchkey_str	article:17265479:2009----::eibltmdlnowrlssnontokoolngs
hierarchy_sort_str	2009
callnumber-subject-code	T
publishDate	2009
allfields	(DE-627)DOAJ046073221 (DE-599)DOAJf11c6dab58d9429b94c7e3c3fab25b50 DE-627 ger DE-627 rakwb eng T1-995 Khalid EL-DARYMLI verfasserin aut Reliability Modeling of Wireless Sensor Network for Oil and Gas Pipelines Monitoring 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Extensive network of pipelines carrying oil and gas is an integral part of any country’s energy management plan. As oil and gas are characterized as highly hazardous, their transportation through pipelines warrants proactive continuous monitoring. Unfortunately, there has been limited continuous monitoring of this crucial infrastructure, which causes financial losses to the industry. This paper presents a wireless sensor network (WSN) system and its reliability assessment model for oil and gas pipelines condition monitoring. As a first step, a wireless sensor system for pipeline monitoring is selected. The selected system is revised for oil and gas application considering long distance transportation. Upon system development, a reliability model for the system is developed. A simple bottom-up approach is followed to analyze the reliability of the components, subsystem, and the system. Two explanatory examples are presented to demonstrate the applications of the selected system and developed reliability model. These examples help to better understand the interrelation between the reliabilities, the components and the system. Reliability modeling Wireless sensor networks Pipelines condition monitoring Wireless based condition monitoring Technology (General) Faisal KHAN verfasserin aut Mohamed H. AHMED verfasserin aut In Sensors & Transducers IFSA Publishing, S.L., 2017 106(2009), 7, Seite 6-26 (DE-627)887864724 (DE-600)2894997-3 17265479 nnns volume:106 year:2009 number:7 pages:6-26 https://doaj.org/article/f11c6dab58d9429b94c7e3c3fab25b50 kostenfrei http://www.sensorsportal.com/HTML/DIGEST/july_09/P_455.pdf kostenfrei https://doaj.org/toc/2306-8515 Journal toc kostenfrei https://doaj.org/toc/1726-5479 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 106 2009 7 6-26
spelling	(DE-627)DOAJ046073221 (DE-599)DOAJf11c6dab58d9429b94c7e3c3fab25b50 DE-627 ger DE-627 rakwb eng T1-995 Khalid EL-DARYMLI verfasserin aut Reliability Modeling of Wireless Sensor Network for Oil and Gas Pipelines Monitoring 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Extensive network of pipelines carrying oil and gas is an integral part of any country’s energy management plan. As oil and gas are characterized as highly hazardous, their transportation through pipelines warrants proactive continuous monitoring. Unfortunately, there has been limited continuous monitoring of this crucial infrastructure, which causes financial losses to the industry. This paper presents a wireless sensor network (WSN) system and its reliability assessment model for oil and gas pipelines condition monitoring. As a first step, a wireless sensor system for pipeline monitoring is selected. The selected system is revised for oil and gas application considering long distance transportation. Upon system development, a reliability model for the system is developed. A simple bottom-up approach is followed to analyze the reliability of the components, subsystem, and the system. Two explanatory examples are presented to demonstrate the applications of the selected system and developed reliability model. These examples help to better understand the interrelation between the reliabilities, the components and the system. Reliability modeling Wireless sensor networks Pipelines condition monitoring Wireless based condition monitoring Technology (General) Faisal KHAN verfasserin aut Mohamed H. AHMED verfasserin aut In Sensors & Transducers IFSA Publishing, S.L., 2017 106(2009), 7, Seite 6-26 (DE-627)887864724 (DE-600)2894997-3 17265479 nnns volume:106 year:2009 number:7 pages:6-26 https://doaj.org/article/f11c6dab58d9429b94c7e3c3fab25b50 kostenfrei http://www.sensorsportal.com/HTML/DIGEST/july_09/P_455.pdf kostenfrei https://doaj.org/toc/2306-8515 Journal toc kostenfrei https://doaj.org/toc/1726-5479 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 106 2009 7 6-26
allfields_unstemmed	(DE-627)DOAJ046073221 (DE-599)DOAJf11c6dab58d9429b94c7e3c3fab25b50 DE-627 ger DE-627 rakwb eng T1-995 Khalid EL-DARYMLI verfasserin aut Reliability Modeling of Wireless Sensor Network for Oil and Gas Pipelines Monitoring 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Extensive network of pipelines carrying oil and gas is an integral part of any country’s energy management plan. As oil and gas are characterized as highly hazardous, their transportation through pipelines warrants proactive continuous monitoring. Unfortunately, there has been limited continuous monitoring of this crucial infrastructure, which causes financial losses to the industry. This paper presents a wireless sensor network (WSN) system and its reliability assessment model for oil and gas pipelines condition monitoring. As a first step, a wireless sensor system for pipeline monitoring is selected. The selected system is revised for oil and gas application considering long distance transportation. Upon system development, a reliability model for the system is developed. A simple bottom-up approach is followed to analyze the reliability of the components, subsystem, and the system. Two explanatory examples are presented to demonstrate the applications of the selected system and developed reliability model. These examples help to better understand the interrelation between the reliabilities, the components and the system. Reliability modeling Wireless sensor networks Pipelines condition monitoring Wireless based condition monitoring Technology (General) Faisal KHAN verfasserin aut Mohamed H. AHMED verfasserin aut In Sensors & Transducers IFSA Publishing, S.L., 2017 106(2009), 7, Seite 6-26 (DE-627)887864724 (DE-600)2894997-3 17265479 nnns volume:106 year:2009 number:7 pages:6-26 https://doaj.org/article/f11c6dab58d9429b94c7e3c3fab25b50 kostenfrei http://www.sensorsportal.com/HTML/DIGEST/july_09/P_455.pdf kostenfrei https://doaj.org/toc/2306-8515 Journal toc kostenfrei https://doaj.org/toc/1726-5479 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 106 2009 7 6-26
allfieldsGer	(DE-627)DOAJ046073221 (DE-599)DOAJf11c6dab58d9429b94c7e3c3fab25b50 DE-627 ger DE-627 rakwb eng T1-995 Khalid EL-DARYMLI verfasserin aut Reliability Modeling of Wireless Sensor Network for Oil and Gas Pipelines Monitoring 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Extensive network of pipelines carrying oil and gas is an integral part of any country’s energy management plan. As oil and gas are characterized as highly hazardous, their transportation through pipelines warrants proactive continuous monitoring. Unfortunately, there has been limited continuous monitoring of this crucial infrastructure, which causes financial losses to the industry. This paper presents a wireless sensor network (WSN) system and its reliability assessment model for oil and gas pipelines condition monitoring. As a first step, a wireless sensor system for pipeline monitoring is selected. The selected system is revised for oil and gas application considering long distance transportation. Upon system development, a reliability model for the system is developed. A simple bottom-up approach is followed to analyze the reliability of the components, subsystem, and the system. Two explanatory examples are presented to demonstrate the applications of the selected system and developed reliability model. These examples help to better understand the interrelation between the reliabilities, the components and the system. Reliability modeling Wireless sensor networks Pipelines condition monitoring Wireless based condition monitoring Technology (General) Faisal KHAN verfasserin aut Mohamed H. AHMED verfasserin aut In Sensors & Transducers IFSA Publishing, S.L., 2017 106(2009), 7, Seite 6-26 (DE-627)887864724 (DE-600)2894997-3 17265479 nnns volume:106 year:2009 number:7 pages:6-26 https://doaj.org/article/f11c6dab58d9429b94c7e3c3fab25b50 kostenfrei http://www.sensorsportal.com/HTML/DIGEST/july_09/P_455.pdf kostenfrei https://doaj.org/toc/2306-8515 Journal toc kostenfrei https://doaj.org/toc/1726-5479 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 106 2009 7 6-26
allfieldsSound	(DE-627)DOAJ046073221 (DE-599)DOAJf11c6dab58d9429b94c7e3c3fab25b50 DE-627 ger DE-627 rakwb eng T1-995 Khalid EL-DARYMLI verfasserin aut Reliability Modeling of Wireless Sensor Network for Oil and Gas Pipelines Monitoring 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Extensive network of pipelines carrying oil and gas is an integral part of any country’s energy management plan. As oil and gas are characterized as highly hazardous, their transportation through pipelines warrants proactive continuous monitoring. Unfortunately, there has been limited continuous monitoring of this crucial infrastructure, which causes financial losses to the industry. This paper presents a wireless sensor network (WSN) system and its reliability assessment model for oil and gas pipelines condition monitoring. As a first step, a wireless sensor system for pipeline monitoring is selected. The selected system is revised for oil and gas application considering long distance transportation. Upon system development, a reliability model for the system is developed. A simple bottom-up approach is followed to analyze the reliability of the components, subsystem, and the system. Two explanatory examples are presented to demonstrate the applications of the selected system and developed reliability model. These examples help to better understand the interrelation between the reliabilities, the components and the system. Reliability modeling Wireless sensor networks Pipelines condition monitoring Wireless based condition monitoring Technology (General) Faisal KHAN verfasserin aut Mohamed H. AHMED verfasserin aut In Sensors & Transducers IFSA Publishing, S.L., 2017 106(2009), 7, Seite 6-26 (DE-627)887864724 (DE-600)2894997-3 17265479 nnns volume:106 year:2009 number:7 pages:6-26 https://doaj.org/article/f11c6dab58d9429b94c7e3c3fab25b50 kostenfrei http://www.sensorsportal.com/HTML/DIGEST/july_09/P_455.pdf kostenfrei https://doaj.org/toc/2306-8515 Journal toc kostenfrei https://doaj.org/toc/1726-5479 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 106 2009 7 6-26
language	English
source	In Sensors & Transducers 106(2009), 7, Seite 6-26 volume:106 year:2009 number:7 pages:6-26
sourceStr	In Sensors & Transducers 106(2009), 7, Seite 6-26 volume:106 year:2009 number:7 pages:6-26
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Reliability modeling Wireless sensor networks Pipelines condition monitoring Wireless based condition monitoring Technology (General)
isfreeaccess_bool	true
container_title	Sensors & Transducers
authorswithroles_txt_mv	Khalid EL-DARYMLI @@aut@@ Faisal KHAN @@aut@@ Mohamed H. AHMED @@aut@@
publishDateDaySort_date	2009-01-01T00:00:00Z
hierarchy_top_id	887864724
id	DOAJ046073221
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">DOAJ046073221</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230308102558.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230227s2009 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ046073221</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJf11c6dab58d9429b94c7e3c3fab25b50</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="050" ind1=" " ind2="0"><subfield code="a">T1-995</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Khalid EL-DARYMLI</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Reliability Modeling of Wireless Sensor Network for Oil and Gas Pipelines Monitoring</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2009</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="520" ind1=" " ind2=" "><subfield code="a">Extensive network of pipelines carrying oil and gas is an integral part of any country’s energy management plan. As oil and gas are characterized as highly hazardous, their transportation through pipelines warrants proactive continuous monitoring. Unfortunately, there has been limited continuous monitoring of this crucial infrastructure, which causes financial losses to the industry. This paper presents a wireless sensor network (WSN) system and its reliability assessment model for oil and gas pipelines condition monitoring. As a first step, a wireless sensor system for pipeline monitoring is selected. The selected system is revised for oil and gas application considering long distance transportation. Upon system development, a reliability model for the system is developed. A simple bottom-up approach is followed to analyze the reliability of the components, subsystem, and the system. Two explanatory examples are presented to demonstrate the applications of the selected system and developed reliability model. These examples help to better understand the interrelation between the reliabilities, the components and the system.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Reliability modeling</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Wireless sensor networks</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Pipelines condition monitoring</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Wireless based condition monitoring</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Technology (General)</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Faisal KHAN</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Mohamed H. AHMED</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Sensors & Transducers</subfield><subfield code="d">IFSA Publishing, S.L., 2017</subfield><subfield code="g">106(2009), 7, Seite 6-26</subfield><subfield code="w">(DE-627)887864724</subfield><subfield code="w">(DE-600)2894997-3</subfield><subfield code="x">17265479</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:106</subfield><subfield code="g">year:2009</subfield><subfield code="g">number:7</subfield><subfield code="g">pages:6-26</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/f11c6dab58d9429b94c7e3c3fab25b50</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.sensorsportal.com/HTML/DIGEST/july_09/P_455.pdf</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2306-8515</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/1726-5479</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</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_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2027</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">106</subfield><subfield code="j">2009</subfield><subfield code="e">7</subfield><subfield code="h">6-26</subfield></datafield></record></collection>
callnumber-first	T - Technology
author	Khalid EL-DARYMLI
spellingShingle	Khalid EL-DARYMLI misc T1-995 misc Reliability modeling misc Wireless sensor networks misc Pipelines condition monitoring misc Wireless based condition monitoring misc Technology (General) Reliability Modeling of Wireless Sensor Network for Oil and Gas Pipelines Monitoring
authorStr	Khalid EL-DARYMLI
ppnlink_with_tag_str_mv	@@773@@(DE-627)887864724
format	electronic Article
delete_txt_mv	keep
author_role	aut aut aut
collection	DOAJ
remote_str	true
callnumber-label	T1-995
illustrated	Not Illustrated
issn	17265479
topic_title	T1-995 Reliability Modeling of Wireless Sensor Network for Oil and Gas Pipelines Monitoring Reliability modeling Wireless sensor networks Pipelines condition monitoring Wireless based condition monitoring
topic	misc T1-995 misc Reliability modeling misc Wireless sensor networks misc Pipelines condition monitoring misc Wireless based condition monitoring misc Technology (General)
topic_unstemmed	misc T1-995 misc Reliability modeling misc Wireless sensor networks misc Pipelines condition monitoring misc Wireless based condition monitoring misc Technology (General)
topic_browse	misc T1-995 misc Reliability modeling misc Wireless sensor networks misc Pipelines condition monitoring misc Wireless based condition monitoring misc Technology (General)
format_facet	Elektronische Aufsätze Aufsätze Elektronische Ressource
format_main_str_mv	Text Zeitschrift/Artikel
carriertype_str_mv	cr
hierarchy_parent_title	Sensors & Transducers
hierarchy_parent_id	887864724
hierarchy_top_title	Sensors & Transducers
isfreeaccess_txt	true
familylinks_str_mv	(DE-627)887864724 (DE-600)2894997-3
title	Reliability Modeling of Wireless Sensor Network for Oil and Gas Pipelines Monitoring
ctrlnum	(DE-627)DOAJ046073221 (DE-599)DOAJf11c6dab58d9429b94c7e3c3fab25b50
title_full	Reliability Modeling of Wireless Sensor Network for Oil and Gas Pipelines Monitoring
author_sort	Khalid EL-DARYMLI
journal	Sensors & Transducers
journalStr	Sensors & Transducers
callnumber-first-code	T
lang_code	eng
isOA_bool	true
recordtype	marc
publishDateSort	2009
contenttype_str_mv	txt
container_start_page	6
author_browse	Khalid EL-DARYMLI Faisal KHAN Mohamed H. AHMED
container_volume	106
class	T1-995
format_se	Elektronische Aufsätze
author-letter	Khalid EL-DARYMLI
author2-role	verfasserin
title_sort	reliability modeling of wireless sensor network for oil and gas pipelines monitoring
callnumber	T1-995
title_auth	Reliability Modeling of Wireless Sensor Network for Oil and Gas Pipelines Monitoring
abstract	Extensive network of pipelines carrying oil and gas is an integral part of any country’s energy management plan. As oil and gas are characterized as highly hazardous, their transportation through pipelines warrants proactive continuous monitoring. Unfortunately, there has been limited continuous monitoring of this crucial infrastructure, which causes financial losses to the industry. This paper presents a wireless sensor network (WSN) system and its reliability assessment model for oil and gas pipelines condition monitoring. As a first step, a wireless sensor system for pipeline monitoring is selected. The selected system is revised for oil and gas application considering long distance transportation. Upon system development, a reliability model for the system is developed. A simple bottom-up approach is followed to analyze the reliability of the components, subsystem, and the system. Two explanatory examples are presented to demonstrate the applications of the selected system and developed reliability model. These examples help to better understand the interrelation between the reliabilities, the components and the system.
abstractGer	Extensive network of pipelines carrying oil and gas is an integral part of any country’s energy management plan. As oil and gas are characterized as highly hazardous, their transportation through pipelines warrants proactive continuous monitoring. Unfortunately, there has been limited continuous monitoring of this crucial infrastructure, which causes financial losses to the industry. This paper presents a wireless sensor network (WSN) system and its reliability assessment model for oil and gas pipelines condition monitoring. As a first step, a wireless sensor system for pipeline monitoring is selected. The selected system is revised for oil and gas application considering long distance transportation. Upon system development, a reliability model for the system is developed. A simple bottom-up approach is followed to analyze the reliability of the components, subsystem, and the system. Two explanatory examples are presented to demonstrate the applications of the selected system and developed reliability model. These examples help to better understand the interrelation between the reliabilities, the components and the system.
abstract_unstemmed	Extensive network of pipelines carrying oil and gas is an integral part of any country’s energy management plan. As oil and gas are characterized as highly hazardous, their transportation through pipelines warrants proactive continuous monitoring. Unfortunately, there has been limited continuous monitoring of this crucial infrastructure, which causes financial losses to the industry. This paper presents a wireless sensor network (WSN) system and its reliability assessment model for oil and gas pipelines condition monitoring. As a first step, a wireless sensor system for pipeline monitoring is selected. The selected system is revised for oil and gas application considering long distance transportation. Upon system development, a reliability model for the system is developed. A simple bottom-up approach is followed to analyze the reliability of the components, subsystem, and the system. Two explanatory examples are presented to demonstrate the applications of the selected system and developed reliability model. These examples help to better understand the interrelation between the reliabilities, the components and the system.
collection_details	GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700
container_issue	7
title_short	Reliability Modeling of Wireless Sensor Network for Oil and Gas Pipelines Monitoring
url	https://doaj.org/article/f11c6dab58d9429b94c7e3c3fab25b50 http://www.sensorsportal.com/HTML/DIGEST/july_09/P_455.pdf https://doaj.org/toc/2306-8515 https://doaj.org/toc/1726-5479
remote_bool	true
author2	Faisal KHAN Mohamed H. AHMED
author2Str	Faisal KHAN Mohamed H. AHMED
ppnlink	887864724
callnumber-subject	T - General Technology
mediatype_str_mv	c
isOA_txt	true
hochschulschrift_bool	false
callnumber-a	T1-995
up_date	2024-07-03T18:37:51.191Z
_version_	1803584139369119744
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">DOAJ046073221</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230308102558.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230227s2009 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ046073221</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJf11c6dab58d9429b94c7e3c3fab25b50</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="050" ind1=" " ind2="0"><subfield code="a">T1-995</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Khalid EL-DARYMLI</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Reliability Modeling of Wireless Sensor Network for Oil and Gas Pipelines Monitoring</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2009</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="520" ind1=" " ind2=" "><subfield code="a">Extensive network of pipelines carrying oil and gas is an integral part of any country’s energy management plan. As oil and gas are characterized as highly hazardous, their transportation through pipelines warrants proactive continuous monitoring. Unfortunately, there has been limited continuous monitoring of this crucial infrastructure, which causes financial losses to the industry. This paper presents a wireless sensor network (WSN) system and its reliability assessment model for oil and gas pipelines condition monitoring. As a first step, a wireless sensor system for pipeline monitoring is selected. The selected system is revised for oil and gas application considering long distance transportation. Upon system development, a reliability model for the system is developed. A simple bottom-up approach is followed to analyze the reliability of the components, subsystem, and the system. Two explanatory examples are presented to demonstrate the applications of the selected system and developed reliability model. These examples help to better understand the interrelation between the reliabilities, the components and the system.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Reliability modeling</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Wireless sensor networks</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Pipelines condition monitoring</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Wireless based condition monitoring</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Technology (General)</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Faisal KHAN</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Mohamed H. AHMED</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Sensors & Transducers</subfield><subfield code="d">IFSA Publishing, S.L., 2017</subfield><subfield code="g">106(2009), 7, Seite 6-26</subfield><subfield code="w">(DE-627)887864724</subfield><subfield code="w">(DE-600)2894997-3</subfield><subfield code="x">17265479</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:106</subfield><subfield code="g">year:2009</subfield><subfield code="g">number:7</subfield><subfield code="g">pages:6-26</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/f11c6dab58d9429b94c7e3c3fab25b50</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.sensorsportal.com/HTML/DIGEST/july_09/P_455.pdf</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2306-8515</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/1726-5479</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</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_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2027</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">106</subfield><subfield code="j">2009</subfield><subfield code="e">7</subfield><subfield code="h">6-26</subfield></datafield></record></collection>
score	7.4003115

Nicht das Richtige dabei?

Schreiben Sie uns!

Reliability Modeling of Wireless Sensor Network for Oil and Gas Pipelines Monitoring

Nicht das Richtige dabei?

Zugang & Verfügbarkeit

Vorhandene Bände

Nicht das Richtige dabei?