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Expert System for Comprehensive Transmission Fault Diagnosis Based on Oil Sensor

  • Dalian University of Technology
  • Guangxi University of Technology
  • CAS - Academy of Mathematics and System Sciences
  • Technology Department LTD

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

When armored vehicles are fighting in high-intensity environments, their integrated transmission systems are under tremendous pressure. The traditional method only detects the oil temperature and metal abrasive particles to determine whether the integrated transmission system is working properly, it is difficult to quickly locate the cause. This paper builds on the integrated oil sensor, analysis of physical and chemical indexes such as lubricating oil temperature, water mixing, pollution degree and viscosity collected by sensors. In the traditional fault diagnosis system, a new fault diagnosis system is established, which can find the fault source faster, determine the fault level of the machine, and make it easier for maintenance personnel to judge whether the machine needs to be shut down for maintenance. Fault diagnosis mainly through inference rules and a combination of qualitative and quantitative fault tree analysis, can clearly reflect the relationship between each fault and the parameters detected by abnormality. Integrated oil sensor and fault diagnosis system are appropriate for multi-model armored vehicles. In the future innovation, technical parameters can be inserted or reduced according to user need, and it has a good adaptability.

源语言英语
主期刊名Proceedings of 2020 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2020
编辑Yong Qin, Ming J. Zuo, Xiaojian Yi, Limin Jia, Dejan Gjorgjevikj
出版商Institute of Electrical and Electronics Engineers Inc.
页49-54
页数6
ISBN(电子版)9781728170503
DOI
出版状态已出版 - 5 8月 2020
已对外发布是
活动4th International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2020 - Virtual, Beijing, 中国
期限: 5 8月 2020 → 7 8月 2020

丛书

姓名Proceedings of 2020 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2020

会议

会议4th International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2020
国家/地区中国
市Virtual, Beijing
时期5/08/20 → 7/08/20

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