Research and Application of Prognostics and Health Management Technology Framework in Heavy Haul Locomotive
Focused on the problem of inefficient maintenance of heavy haul electric locomotives, the comprehensive technology of data acquisition and processing, fault diagnosis and warning, health assessment and maintenance decision-making adopted in current maintenance management and academic research in Chi...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Control and Information Technology
2022-12-01
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| Series: | Kongzhi Yu Xinxi Jishu |
| Subjects: | |
| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2022.06.018 |
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| _version_ | 1849224941103218688 |
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| author | ZHOU Zhansong |
| author_facet | ZHOU Zhansong |
| author_sort | ZHOU Zhansong |
| collection | DOAJ |
| description | Focused on the problem of inefficient maintenance of heavy haul electric locomotives, the comprehensive technology of data acquisition and processing, fault diagnosis and warning, health assessment and maintenance decision-making adopted in current maintenance management and academic research in China are studied. A framework of prognostics and health management (PHM) is proposed in this paper to ensure the operational safety of heavy haul locomotives. This framework is consist of four key systems, including pantograph catenary, traction, braking and running system. This framework can realize the health and maintenance management of locomotives through online status monitoring, real-time state assessment and conditional maintenance decision support, and promote the maintenance mode upgrading of heavy haul locomotives from traditional planned preventive maintenance to condition based maintenance. It also provides a good theoretical basis and guidance for solving the contradiction between heavy haul locomotive operation safety and maintenance economy, and realizing locomotive condition based maintenance. At the same time, traction motor, the key equipment of traction system, is taken as a case to analyze and verify the proposed PHM technology based on the existing control signals. It effectively solves the problems of insufficient coverage of detection items and insufficient diagnostic ability of existing locomotive PHM system. |
| format | Article |
| id | doaj-art-3fc5eb6272f844179cfbe8d3c75022d4 |
| institution | Kabale University |
| issn | 2096-5427 |
| language | zho |
| publishDate | 2022-12-01 |
| publisher | Editorial Office of Control and Information Technology |
| record_format | Article |
| series | Kongzhi Yu Xinxi Jishu |
| spelling | doaj-art-3fc5eb6272f844179cfbe8d3c75022d42025-08-25T06:49:26ZzhoEditorial Office of Control and Information TechnologyKongzhi Yu Xinxi Jishu2096-54272022-12-0111512233243924Research and Application of Prognostics and Health Management Technology Framework in Heavy Haul LocomotiveZHOU ZhansongFocused on the problem of inefficient maintenance of heavy haul electric locomotives, the comprehensive technology of data acquisition and processing, fault diagnosis and warning, health assessment and maintenance decision-making adopted in current maintenance management and academic research in China are studied. A framework of prognostics and health management (PHM) is proposed in this paper to ensure the operational safety of heavy haul locomotives. This framework is consist of four key systems, including pantograph catenary, traction, braking and running system. This framework can realize the health and maintenance management of locomotives through online status monitoring, real-time state assessment and conditional maintenance decision support, and promote the maintenance mode upgrading of heavy haul locomotives from traditional planned preventive maintenance to condition based maintenance. It also provides a good theoretical basis and guidance for solving the contradiction between heavy haul locomotive operation safety and maintenance economy, and realizing locomotive condition based maintenance. At the same time, traction motor, the key equipment of traction system, is taken as a case to analyze and verify the proposed PHM technology based on the existing control signals. It effectively solves the problems of insufficient coverage of detection items and insufficient diagnostic ability of existing locomotive PHM system.http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2022.06.018heavy haul locomotiveprognostics and health management (PHM)traction systemconditional-based maintenance |
| spellingShingle | ZHOU Zhansong Research and Application of Prognostics and Health Management Technology Framework in Heavy Haul Locomotive Kongzhi Yu Xinxi Jishu heavy haul locomotive prognostics and health management (PHM) traction system conditional-based maintenance |
| title | Research and Application of Prognostics and Health Management Technology Framework in Heavy Haul Locomotive |
| title_full | Research and Application of Prognostics and Health Management Technology Framework in Heavy Haul Locomotive |
| title_fullStr | Research and Application of Prognostics and Health Management Technology Framework in Heavy Haul Locomotive |
| title_full_unstemmed | Research and Application of Prognostics and Health Management Technology Framework in Heavy Haul Locomotive |
| title_short | Research and Application of Prognostics and Health Management Technology Framework in Heavy Haul Locomotive |
| title_sort | research and application of prognostics and health management technology framework in heavy haul locomotive |
| topic | heavy haul locomotive prognostics and health management (PHM) traction system conditional-based maintenance |
| url | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2022.06.018 |
| work_keys_str_mv | AT zhouzhansong researchandapplicationofprognosticsandhealthmanagementtechnologyframeworkinheavyhaullocomotive |