Analysis of key techniques of condition monitoring and fault diagnosis of mechanical system

Authors

  • Yifan Yan
  • Shixian Wu

DOI:

https://doi.org/10.56028/aetr.6.1.414.2023

Keywords:

mechanical system; Condition monitoring; Fault diagnosis; Signal processing technology; Fuzzy diagnosis.

Abstract

In the rapid development of social economy and science and technology, the mechanical field has brought more problems, such as some large generator equipment during the work of the problem will affect the overall work efficiency and quality, so the relevant state detection and fault diagnosis technology is very important. Nowadays, Chinese scholars are actively studying the mechanical system condition monitoring and fault diagnosis technology, while integrating existing technical theories and gradually forming a relatively complete application system. The emergence of artificial intelligence also provides a new idea for equipment fault maintenance. Therefore, after studying the status of Chinese mechanical system status monitoring and fault diagnosis research, this paper, according to the common fault diagnosis methods, takes the large complex mechanical system as an example to analyze the case, and finally judges the application value of condition monitoring and fault diagnosis technology.

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Published

2023-07-12