Fault diagnosis strategy of CNC machine tools based on cascading failure
Abstract To ensure the safe operation of CNC machines, a fault diagnosis strategy based on cascading failure is proposed. According to fault mechanism analysis, a directed graph model of fault propagation between components in machine tool systems is established. In this study, the interpretative st...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Zhang, Yingzhi [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media, LLC, part of Springer Nature 2017 |
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| Übergeordnetes Werk: |
Enthalten in: Journal of intelligent manufacturing - Springer US, 1990, 30(2017), 5 vom: 13. Dez., Seite 2193-2202 |
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| Übergeordnetes Werk: |
volume:30 ; year:2017 ; number:5 ; day:13 ; month:12 ; pages:2193-2202 |
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| DOI / URN: |
10.1007/s10845-017-1382-7 |
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OLC2066779059 |
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| 520 | |a Abstract To ensure the safe operation of CNC machines, a fault diagnosis strategy based on cascading failure is proposed. According to fault mechanism analysis, a directed graph model of fault propagation between components in machine tool systems is established. In this study, the interpretative structural model method is used to realize the hierarchical structure of fault propagation model by matrix transformation and decomposition. Subsequently, the PageRank algorithm is introduced to evaluate the failure effects of the machine tool system components. The Johnson method is then applied to correct the component fault sequence and establish the model of rate of occurrence of failures that is based on time correlation. Finally, the fault diagnosis strategy is formulated through the component rate of the occurrence of failure, fault influence and fault propagation model, to identify the main cause of the fault and provide the basis for fault diagnosis. In the end, a machine tool equipment is used as an example for application to verify the validity of the method. | ||
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| 700 | 1 | |a Han, Chenyu |4 aut | |
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10.1007/s10845-017-1382-7 doi (DE-627)OLC2066779059 (DE-He213)s10845-017-1382-7-p DE-627 ger DE-627 rakwb eng 620 004 VZ Zhang, Yingzhi verfasserin aut Fault diagnosis strategy of CNC machine tools based on cascading failure 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2017 Abstract To ensure the safe operation of CNC machines, a fault diagnosis strategy based on cascading failure is proposed. According to fault mechanism analysis, a directed graph model of fault propagation between components in machine tool systems is established. In this study, the interpretative structural model method is used to realize the hierarchical structure of fault propagation model by matrix transformation and decomposition. Subsequently, the PageRank algorithm is introduced to evaluate the failure effects of the machine tool system components. The Johnson method is then applied to correct the component fault sequence and establish the model of rate of occurrence of failures that is based on time correlation. Finally, the fault diagnosis strategy is formulated through the component rate of the occurrence of failure, fault influence and fault propagation model, to identify the main cause of the fault and provide the basis for fault diagnosis. In the end, a machine tool equipment is used as an example for application to verify the validity of the method. CNC machine tools Fault diagnosis Johnson ISM PageRank Mu, Liming aut Shen, Guixiang (orcid)0000-0003-3219-7023 aut Yu, Yang aut Han, Chenyu aut Enthalten in Journal of intelligent manufacturing Springer US, 1990 30(2017), 5 vom: 13. Dez., Seite 2193-2202 (DE-627)130892815 (DE-600)1041378-9 (DE-576)026321106 0956-5515 nnns volume:30 year:2017 number:5 day:13 month:12 pages:2193-2202 https://doi.org/10.1007/s10845-017-1382-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 AR 30 2017 5 13 12 2193-2202 |
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10.1007/s10845-017-1382-7 doi (DE-627)OLC2066779059 (DE-He213)s10845-017-1382-7-p DE-627 ger DE-627 rakwb eng 620 004 VZ Zhang, Yingzhi verfasserin aut Fault diagnosis strategy of CNC machine tools based on cascading failure 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2017 Abstract To ensure the safe operation of CNC machines, a fault diagnosis strategy based on cascading failure is proposed. According to fault mechanism analysis, a directed graph model of fault propagation between components in machine tool systems is established. In this study, the interpretative structural model method is used to realize the hierarchical structure of fault propagation model by matrix transformation and decomposition. Subsequently, the PageRank algorithm is introduced to evaluate the failure effects of the machine tool system components. The Johnson method is then applied to correct the component fault sequence and establish the model of rate of occurrence of failures that is based on time correlation. Finally, the fault diagnosis strategy is formulated through the component rate of the occurrence of failure, fault influence and fault propagation model, to identify the main cause of the fault and provide the basis for fault diagnosis. In the end, a machine tool equipment is used as an example for application to verify the validity of the method. CNC machine tools Fault diagnosis Johnson ISM PageRank Mu, Liming aut Shen, Guixiang (orcid)0000-0003-3219-7023 aut Yu, Yang aut Han, Chenyu aut Enthalten in Journal of intelligent manufacturing Springer US, 1990 30(2017), 5 vom: 13. Dez., Seite 2193-2202 (DE-627)130892815 (DE-600)1041378-9 (DE-576)026321106 0956-5515 nnns volume:30 year:2017 number:5 day:13 month:12 pages:2193-2202 https://doi.org/10.1007/s10845-017-1382-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 AR 30 2017 5 13 12 2193-2202 |
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10.1007/s10845-017-1382-7 doi (DE-627)OLC2066779059 (DE-He213)s10845-017-1382-7-p DE-627 ger DE-627 rakwb eng 620 004 VZ Zhang, Yingzhi verfasserin aut Fault diagnosis strategy of CNC machine tools based on cascading failure 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2017 Abstract To ensure the safe operation of CNC machines, a fault diagnosis strategy based on cascading failure is proposed. According to fault mechanism analysis, a directed graph model of fault propagation between components in machine tool systems is established. In this study, the interpretative structural model method is used to realize the hierarchical structure of fault propagation model by matrix transformation and decomposition. Subsequently, the PageRank algorithm is introduced to evaluate the failure effects of the machine tool system components. The Johnson method is then applied to correct the component fault sequence and establish the model of rate of occurrence of failures that is based on time correlation. Finally, the fault diagnosis strategy is formulated through the component rate of the occurrence of failure, fault influence and fault propagation model, to identify the main cause of the fault and provide the basis for fault diagnosis. In the end, a machine tool equipment is used as an example for application to verify the validity of the method. CNC machine tools Fault diagnosis Johnson ISM PageRank Mu, Liming aut Shen, Guixiang (orcid)0000-0003-3219-7023 aut Yu, Yang aut Han, Chenyu aut Enthalten in Journal of intelligent manufacturing Springer US, 1990 30(2017), 5 vom: 13. Dez., Seite 2193-2202 (DE-627)130892815 (DE-600)1041378-9 (DE-576)026321106 0956-5515 nnns volume:30 year:2017 number:5 day:13 month:12 pages:2193-2202 https://doi.org/10.1007/s10845-017-1382-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 AR 30 2017 5 13 12 2193-2202 |
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10.1007/s10845-017-1382-7 doi (DE-627)OLC2066779059 (DE-He213)s10845-017-1382-7-p DE-627 ger DE-627 rakwb eng 620 004 VZ Zhang, Yingzhi verfasserin aut Fault diagnosis strategy of CNC machine tools based on cascading failure 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2017 Abstract To ensure the safe operation of CNC machines, a fault diagnosis strategy based on cascading failure is proposed. According to fault mechanism analysis, a directed graph model of fault propagation between components in machine tool systems is established. In this study, the interpretative structural model method is used to realize the hierarchical structure of fault propagation model by matrix transformation and decomposition. Subsequently, the PageRank algorithm is introduced to evaluate the failure effects of the machine tool system components. The Johnson method is then applied to correct the component fault sequence and establish the model of rate of occurrence of failures that is based on time correlation. Finally, the fault diagnosis strategy is formulated through the component rate of the occurrence of failure, fault influence and fault propagation model, to identify the main cause of the fault and provide the basis for fault diagnosis. In the end, a machine tool equipment is used as an example for application to verify the validity of the method. CNC machine tools Fault diagnosis Johnson ISM PageRank Mu, Liming aut Shen, Guixiang (orcid)0000-0003-3219-7023 aut Yu, Yang aut Han, Chenyu aut Enthalten in Journal of intelligent manufacturing Springer US, 1990 30(2017), 5 vom: 13. Dez., Seite 2193-2202 (DE-627)130892815 (DE-600)1041378-9 (DE-576)026321106 0956-5515 nnns volume:30 year:2017 number:5 day:13 month:12 pages:2193-2202 https://doi.org/10.1007/s10845-017-1382-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 AR 30 2017 5 13 12 2193-2202 |
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10.1007/s10845-017-1382-7 doi (DE-627)OLC2066779059 (DE-He213)s10845-017-1382-7-p DE-627 ger DE-627 rakwb eng 620 004 VZ Zhang, Yingzhi verfasserin aut Fault diagnosis strategy of CNC machine tools based on cascading failure 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2017 Abstract To ensure the safe operation of CNC machines, a fault diagnosis strategy based on cascading failure is proposed. According to fault mechanism analysis, a directed graph model of fault propagation between components in machine tool systems is established. In this study, the interpretative structural model method is used to realize the hierarchical structure of fault propagation model by matrix transformation and decomposition. Subsequently, the PageRank algorithm is introduced to evaluate the failure effects of the machine tool system components. The Johnson method is then applied to correct the component fault sequence and establish the model of rate of occurrence of failures that is based on time correlation. Finally, the fault diagnosis strategy is formulated through the component rate of the occurrence of failure, fault influence and fault propagation model, to identify the main cause of the fault and provide the basis for fault diagnosis. In the end, a machine tool equipment is used as an example for application to verify the validity of the method. CNC machine tools Fault diagnosis Johnson ISM PageRank Mu, Liming aut Shen, Guixiang (orcid)0000-0003-3219-7023 aut Yu, Yang aut Han, Chenyu aut Enthalten in Journal of intelligent manufacturing Springer US, 1990 30(2017), 5 vom: 13. Dez., Seite 2193-2202 (DE-627)130892815 (DE-600)1041378-9 (DE-576)026321106 0956-5515 nnns volume:30 year:2017 number:5 day:13 month:12 pages:2193-2202 https://doi.org/10.1007/s10845-017-1382-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 AR 30 2017 5 13 12 2193-2202 |
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Abstract To ensure the safe operation of CNC machines, a fault diagnosis strategy based on cascading failure is proposed. According to fault mechanism analysis, a directed graph model of fault propagation between components in machine tool systems is established. In this study, the interpretative structural model method is used to realize the hierarchical structure of fault propagation model by matrix transformation and decomposition. Subsequently, the PageRank algorithm is introduced to evaluate the failure effects of the machine tool system components. The Johnson method is then applied to correct the component fault sequence and establish the model of rate of occurrence of failures that is based on time correlation. Finally, the fault diagnosis strategy is formulated through the component rate of the occurrence of failure, fault influence and fault propagation model, to identify the main cause of the fault and provide the basis for fault diagnosis. In the end, a machine tool equipment is used as an example for application to verify the validity of the method. © Springer Science+Business Media, LLC, part of Springer Nature 2017 |
| abstractGer |
Abstract To ensure the safe operation of CNC machines, a fault diagnosis strategy based on cascading failure is proposed. According to fault mechanism analysis, a directed graph model of fault propagation between components in machine tool systems is established. In this study, the interpretative structural model method is used to realize the hierarchical structure of fault propagation model by matrix transformation and decomposition. Subsequently, the PageRank algorithm is introduced to evaluate the failure effects of the machine tool system components. The Johnson method is then applied to correct the component fault sequence and establish the model of rate of occurrence of failures that is based on time correlation. Finally, the fault diagnosis strategy is formulated through the component rate of the occurrence of failure, fault influence and fault propagation model, to identify the main cause of the fault and provide the basis for fault diagnosis. In the end, a machine tool equipment is used as an example for application to verify the validity of the method. © Springer Science+Business Media, LLC, part of Springer Nature 2017 |
| abstract_unstemmed |
Abstract To ensure the safe operation of CNC machines, a fault diagnosis strategy based on cascading failure is proposed. According to fault mechanism analysis, a directed graph model of fault propagation between components in machine tool systems is established. In this study, the interpretative structural model method is used to realize the hierarchical structure of fault propagation model by matrix transformation and decomposition. Subsequently, the PageRank algorithm is introduced to evaluate the failure effects of the machine tool system components. The Johnson method is then applied to correct the component fault sequence and establish the model of rate of occurrence of failures that is based on time correlation. Finally, the fault diagnosis strategy is formulated through the component rate of the occurrence of failure, fault influence and fault propagation model, to identify the main cause of the fault and provide the basis for fault diagnosis. In the end, a machine tool equipment is used as an example for application to verify the validity of the method. © Springer Science+Business Media, LLC, part of Springer Nature 2017 |
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Fault diagnosis strategy of CNC machine tools based on cascading failure |
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https://doi.org/10.1007/s10845-017-1382-7 |
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Mu, Liming Shen, Guixiang Yu, Yang Han, Chenyu |
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Mu, Liming Shen, Guixiang Yu, Yang Han, Chenyu |
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10.1007/s10845-017-1382-7 |
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