Data Driven State Monitoring of Maglev System With Experimental Analysis
The reliability of levitation system plays an important role for the safe operation of maglev train. Monitoring the state of the levitation system helps make early judgement to adopt fault tolerant measurement preventing further damage. In this paper, a data-driven state monitoring problem for PEMS...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9072168/ |
| _version_ | 1818379566826127360 |
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| author | Zhiqiang Wang Zhiqiang Long Jie Luo Zhangming He Xiaolong Li |
| author_facet | Zhiqiang Wang Zhiqiang Long Jie Luo Zhangming He Xiaolong Li |
| author_sort | Zhiqiang Wang |
| collection | DOAJ |
| description | The reliability of levitation system plays an important role for the safe operation of maglev train. Monitoring the state of the levitation system helps make early judgement to adopt fault tolerant measurement preventing further damage. In this paper, a data-driven state monitoring problem for PEMS high speed maglev train is studied in detail. Firstly preliminaries about levitation system and problem formulation are described. Then a residual generation method based on system input/ouptput data is given. To tackle the varying operational condition problem, a multi-model switching strategy is proposed. For the non-Gaussian property of the system data, a Box-Cox transformation is adopted. The effectiveness of the proposed method is illustrated by experimental data analysis results. |
| first_indexed | 2024-12-14T02:04:50Z |
| format | Article |
| id | doaj.art-1ac05fb85534460d98af2820184ce565 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T02:04:50Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-1ac05fb85534460d98af2820184ce5652022-12-21T23:20:55ZengIEEEIEEE Access2169-35362020-01-018791047911310.1109/ACCESS.2020.29887729072168Data Driven State Monitoring of Maglev System With Experimental AnalysisZhiqiang Wang0https://orcid.org/0000-0002-5094-0506Zhiqiang Long1Jie Luo2Zhangming He3https://orcid.org/0000-0001-9463-4327Xiaolong Li4Maglev Engineering Research Center, National University of Defense Technology, Changsha, ChinaMaglev Engineering Research Center, National University of Defense Technology, Changsha, ChinaMaglev Engineering Research Center, National University of Defense Technology, Changsha, ChinaCollege of Liberal Arts and Sciences, National University of Defense Technology, Changsha, ChinaMaglev Engineering Research Center, National University of Defense Technology, Changsha, ChinaThe reliability of levitation system plays an important role for the safe operation of maglev train. Monitoring the state of the levitation system helps make early judgement to adopt fault tolerant measurement preventing further damage. In this paper, a data-driven state monitoring problem for PEMS high speed maglev train is studied in detail. Firstly preliminaries about levitation system and problem formulation are described. Then a residual generation method based on system input/ouptput data is given. To tackle the varying operational condition problem, a multi-model switching strategy is proposed. For the non-Gaussian property of the system data, a Box-Cox transformation is adopted. The effectiveness of the proposed method is illustrated by experimental data analysis results.https://ieeexplore.ieee.org/document/9072168/High speed Maglev trainPEMSLevitation systemdata-drivenstate monitoring |
| spellingShingle | Zhiqiang Wang Zhiqiang Long Jie Luo Zhangming He Xiaolong Li Data Driven State Monitoring of Maglev System With Experimental Analysis IEEE Access High speed Maglev train PEMS Levitation system data-driven state monitoring |
| title | Data Driven State Monitoring of Maglev System With Experimental Analysis |
| title_full | Data Driven State Monitoring of Maglev System With Experimental Analysis |
| title_fullStr | Data Driven State Monitoring of Maglev System With Experimental Analysis |
| title_full_unstemmed | Data Driven State Monitoring of Maglev System With Experimental Analysis |
| title_short | Data Driven State Monitoring of Maglev System With Experimental Analysis |
| title_sort | data driven state monitoring of maglev system with experimental analysis |
| topic | High speed Maglev train PEMS Levitation system data-driven state monitoring |
| url | https://ieeexplore.ieee.org/document/9072168/ |
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