Research on the Reliability of Metro Traction Substation Main Wiring
In order to accurately and efficiently evaluate the reliability of a subway traction substation and improve the traditional fault tree reliability analysis method, it presented a Bayesian network analysis method based on fault tree, which can greatly improve the accuracy of reliability calculation....
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| Format: | Article |
| Language: | zho |
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Editorial Office of Control and Information Technology
2018-01-01
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| Series: | Kongzhi Yu Xinxi Jishu |
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| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2018.05.014 |
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| _version_ | 1849224915144671232 |
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| author | XU Hao |
| author_facet | XU Hao |
| author_sort | XU Hao |
| collection | DOAJ |
| description | In order to accurately and efficiently evaluate the reliability of a subway traction substation and improve the traditional fault tree reliability analysis method, it presented a Bayesian network analysis method based on fault tree, which can greatly improve the accuracy of reliability calculation. The method was introduced into the reliability research of a subway traction substation with typical structure, and the reliability of the metro traction substation main wiring was analyzed. Some reliability evaluation indexes, such as an average work probability, failure rate, repair rate, average working time, mean time to repair and the average life cycle were figured out. The weak link of the system was found by using the Bayesian networks of reverse reasoning, and the qualitative and quantitative assessments of the metro traction substation reliability were achieved. |
| format | Article |
| id | doaj-art-e53bf7d4ab194dffa78a3015efcafbf1 |
| institution | Kabale University |
| issn | 2096-5427 |
| language | zho |
| publishDate | 2018-01-01 |
| publisher | Editorial Office of Control and Information Technology |
| record_format | Article |
| series | Kongzhi Yu Xinxi Jishu |
| spelling | doaj-art-e53bf7d4ab194dffa78a3015efcafbf12025-08-25T06:51:46ZzhoEditorial Office of Control and Information TechnologyKongzhi Yu Xinxi Jishu2096-54272018-01-0135666982322808Research on the Reliability of Metro Traction Substation Main WiringXU HaoIn order to accurately and efficiently evaluate the reliability of a subway traction substation and improve the traditional fault tree reliability analysis method, it presented a Bayesian network analysis method based on fault tree, which can greatly improve the accuracy of reliability calculation. The method was introduced into the reliability research of a subway traction substation with typical structure, and the reliability of the metro traction substation main wiring was analyzed. Some reliability evaluation indexes, such as an average work probability, failure rate, repair rate, average working time, mean time to repair and the average life cycle were figured out. The weak link of the system was found by using the Bayesian networks of reverse reasoning, and the qualitative and quantitative assessments of the metro traction substation reliability were achieved.http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2018.05.014reliabilitymetrosubstation main wiringfault treeBayesian network |
| spellingShingle | XU Hao Research on the Reliability of Metro Traction Substation Main Wiring Kongzhi Yu Xinxi Jishu reliability metro substation main wiring fault tree Bayesian network |
| title | Research on the Reliability of Metro Traction Substation Main Wiring |
| title_full | Research on the Reliability of Metro Traction Substation Main Wiring |
| title_fullStr | Research on the Reliability of Metro Traction Substation Main Wiring |
| title_full_unstemmed | Research on the Reliability of Metro Traction Substation Main Wiring |
| title_short | Research on the Reliability of Metro Traction Substation Main Wiring |
| title_sort | research on the reliability of metro traction substation main wiring |
| topic | reliability metro substation main wiring fault tree Bayesian network |
| url | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2018.05.014 |
| work_keys_str_mv | AT xuhao researchonthereliabilityofmetrotractionsubstationmainwiring |