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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Qi Wang Zhengyou He Ding Feng |
| Copyright Year | 2015 |
| Description | Author affiliation: Sch. of Electr. Eng., Southwest Jiaotong Univ., Chengdu, China (Qi Wang; Zhengyou He; Ding Feng) |
| Abstract | The Traction Power Supply System (TPSS) as the only power source of High-Speed Railway (HSR), its maintenance management needs to be supported by a complete set of solutions. Maintenance mode decision is the primary and first part of the solutions. The most appropriate maintenance mode leads to the best maintenance effect, the least cost and the highest reliability. Because of the huge number of influence factors of maintenance mode decision and intricate relationship among those factors, the decision process is complicated. Therefore several alternative maintenance modes are summarized with their pros and cons. Factors Set of Maintenance Mode Decision (FSMMD) is established while the interdependence and the feedback relationships among factors are clarified and quantified. The Analytic Network Process (ANP) is applied and the ANP maintenance decision model is built to decide the most appropriate maintenance modes. The case study shows that the appropriate maintenance modes can be decided while the inappropriate maintenance modes of HSR TPSS can be avoid by this method. |
| Starting Page | 1 |
| Ending Page | 7 |
| File Size | 1530357 |
| Page Count | 7 |
| File Format | |
| e-ISBN | 9781479918942 |
| DOI | 10.1109/ICPHM.2015.7245041 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-06-22 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Economics High-Speed Railway Analytic Network Process Maintenance engineering Rail transportation Safety Power system reliability Reliability High definition video Traction Power Supply System Maintenance Mode Decision |
| Content Type | Text |
| Resource Type | Article |
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