Expert System for Comprehensive Transmission Fault Diagnosis Based on Oil Sensor

Yingshun Li, Tingyang Li, Xiaojian Yi, Haiyang Liu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of 2020 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2020
EditorsYong Qin, Ming J. Zuo, Xiaojian Yi, Limin Jia, Dejan Gjorgjevikj
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages49-54
Number of pages6
ISBN (Electronic)9781728170503
DOIs
Publication statusPublished - 5 Aug 2020
Externally publishedYes
Event4th International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2020 - Virtual, Beijing, China
Duration: 5 Aug 20207 Aug 2020

Publication series

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

Conference

Conference4th International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2020
Country/TerritoryChina
CityVirtual, Beijing
Period5/08/207/08/20

Keywords

  • Fault tree
  • Integrated oil sensor
  • Troubleshooting
  • expert system

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