Open AccessReview on Fault Diagnosis on the Rolling Bearing
Author(s) -
Tengfei Zhang,
Shuyong Liu,
Suai Zhang
Publication year - 2021
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 - 10.1088/1742-6596/1820/1/012107
Subject(s) - bearing (navigation) , fault (geology) , reliability engineering , engineering , feature (linguistics) , condition monitoring , computer science , forensic engineering , control engineering , artificial intelligence , geology , electrical engineering , seismology , linguistics , philosophy
As the most basic parts of rotating machinery, the health condition of rolling bearing affects the performance and safety of the whole mechanical equipment. Therefore, the accurate fault diagnosis of rolling bearings is the basic condition to ensure the good working condition of the equipment. This passage reviews the research on fault diagnosis methods at home and abroad. Based on two aspects of fault feature extraction and fault pattern recognition, the advantages and disadvantages of the main methods were analyzed respectively, and the research trend of bearing fault diagnosis was summarized and prospected.