Open AccessThe Optimization Method of Mechanical Fault Diagnosis Based on Artificial Intelligence Technology
Author(s) -
Song Jy,
ZX Li,
Li Yx,
Han Ds
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2158/1/012033
Subject(s) - fault (geology) , artificial neural network , computer science , scope (computer science) , artificial intelligence , field (mathematics) , process (computing) , fuzzy logic , computational intelligence , machine learning , engineering , mathematics , seismology , pure mathematics , programming language , geology , operating system
In order to overcome the problems existing in the traditional mechanical fault diagnosis, and to improve the accuracy of mechanical fault diagnosis, an optimization method of mechanical fault diagnosis based on artificial intelligence technology is proposed in this paper. The optimization method combines a variety of current popular high and new technologies, such as artificial intelligence technology, expert system and artificial neural network technology. at the same time, the optimization method also breaks the traditional mechanical fault diagnosis mode based on fuzzy set theory. Based on this, the optimization method also makes an in-depth analysis and research on artificial intelligence technology, which promotes the application and development of artificial intelligence technology, and expands the application scope and application field of artificial intelligence technology. The research results show that the optimization method can scientifically overcome the problems existing in the traditional mechanical fault diagnosis, and can improve the accuracy and scientificalness in the process of mechanical fault diagnosis, so it has strong feasibility.