A Review of Intelligent Fault Diagnosis for High-Speed Trains: Qualitative Approaches
For ensuring the safety and reliability of high-speed trains, fault diagnosis (FD) technique plays an important role. Benefiting from the rapid developments of artificial intelligence, intelligent FD (IFD) strategies have obtained much attention in the field of academics and applications, where the...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-12-01
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| Series: | Entropy |
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| Online Access: | https://www.mdpi.com/1099-4300/23/1/1 |
| _version_ | 1811183659860885504 |
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| author | Chao Cheng Jiuhe Wang Hongtian Chen Zhiwen Chen Hao Luo Pu Xie |
| author_facet | Chao Cheng Jiuhe Wang Hongtian Chen Zhiwen Chen Hao Luo Pu Xie |
| author_sort | Chao Cheng |
| collection | DOAJ |
| description | For ensuring the safety and reliability of high-speed trains, fault diagnosis (FD) technique plays an important role. Benefiting from the rapid developments of artificial intelligence, intelligent FD (IFD) strategies have obtained much attention in the field of academics and applications, where the qualitative approach is an important branch. Therefore, this survey will present a comprehensive review of these qualitative approaches from both theoretical and practical aspects. The primary task of this paper is to review the current development of these qualitative IFD techniques and then to present some of the latest results. Another major focus of our research is to introduce the background of high-speed trains, like the composition of the core subsystems, system structure, etc., based on which it becomes convenient for researchers to extract the diagnostic knowledge of high-speed trains, where the purpose is to understand how to use these types of knowledge. By reasonable utilization of the knowledge, it is hopeful to address various challenges caused by the coupling among subsystems of high-speed trains. Furthermore, future research trends for qualitative IFD approaches are also presented. |
| first_indexed | 2024-04-11T09:49:29Z |
| format | Article |
| id | doaj.art-3ad22b92ed5d458ca04b89b326fc4000 |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-04-11T09:49:29Z |
| publishDate | 2020-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-3ad22b92ed5d458ca04b89b326fc40002022-12-22T04:30:50ZengMDPI AGEntropy1099-43002020-12-01231110.3390/e23010001A Review of Intelligent Fault Diagnosis for High-Speed Trains: Qualitative ApproachesChao Cheng0Jiuhe Wang1Hongtian Chen2Zhiwen Chen3Hao Luo4Pu Xie5School of Computer Science and Engineering, Changchun University of Technology, Changchun 130012, ChinaSchool of Computer Science and Engineering, Changchun University of Technology, Changchun 130012, ChinaDepartment of Chemical and Materials Engineering, University of Alberta, Edmonton, AB T6G 1H9, CanadaKey Laboratory of Energy Saving Control and Safety Monitoring for Rail Transportation of Hunan Provincial, School of Information Science and Engineering, Central South University, Changsha 410083, ChinaAcademy of Astronautics, Harbin Institute of Technology, Harbin 150001, ChinaCRRC Changchun Railway Vehicles Co., Ltd., Changchun 130062, ChinaFor ensuring the safety and reliability of high-speed trains, fault diagnosis (FD) technique plays an important role. Benefiting from the rapid developments of artificial intelligence, intelligent FD (IFD) strategies have obtained much attention in the field of academics and applications, where the qualitative approach is an important branch. Therefore, this survey will present a comprehensive review of these qualitative approaches from both theoretical and practical aspects. The primary task of this paper is to review the current development of these qualitative IFD techniques and then to present some of the latest results. Another major focus of our research is to introduce the background of high-speed trains, like the composition of the core subsystems, system structure, etc., based on which it becomes convenient for researchers to extract the diagnostic knowledge of high-speed trains, where the purpose is to understand how to use these types of knowledge. By reasonable utilization of the knowledge, it is hopeful to address various challenges caused by the coupling among subsystems of high-speed trains. Furthermore, future research trends for qualitative IFD approaches are also presented.https://www.mdpi.com/1099-4300/23/1/1intelligent fault diagnosis (IFD) techniquequalitative approachesartificial intelligencehigh-speed trains |
| spellingShingle | Chao Cheng Jiuhe Wang Hongtian Chen Zhiwen Chen Hao Luo Pu Xie A Review of Intelligent Fault Diagnosis for High-Speed Trains: Qualitative Approaches Entropy intelligent fault diagnosis (IFD) technique qualitative approaches artificial intelligence high-speed trains |
| title | A Review of Intelligent Fault Diagnosis for High-Speed Trains: Qualitative Approaches |
| title_full | A Review of Intelligent Fault Diagnosis for High-Speed Trains: Qualitative Approaches |
| title_fullStr | A Review of Intelligent Fault Diagnosis for High-Speed Trains: Qualitative Approaches |
| title_full_unstemmed | A Review of Intelligent Fault Diagnosis for High-Speed Trains: Qualitative Approaches |
| title_short | A Review of Intelligent Fault Diagnosis for High-Speed Trains: Qualitative Approaches |
| title_sort | review of intelligent fault diagnosis for high speed trains qualitative approaches |
| topic | intelligent fault diagnosis (IFD) technique qualitative approaches artificial intelligence high-speed trains |
| url | https://www.mdpi.com/1099-4300/23/1/1 |
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