Open AccessDiagnostic method and application of low speed sliding bearing wear fault
Author(s) -
Junke Guo,
Wei Zheng,
Yue Zhen Han,
Linkai Zhu,
Yongqiang Che,
Jin Wang,
Wang Ming
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/772/1/012028
Subject(s) - bearing (navigation) , fault (geology) , rotor (electric) , control theory (sociology) , main bearing , computer science , stability (learning theory) , automotive engineering , engineering , mechanical engineering , artificial intelligence , geology , crankshaft , control (management) , machine learning , seismology
The static thermal and dynamic characteristics of the oil film affect the motion stability of the rotor system and directly determine whether the entire equipment can operate safely and stably. In this paper, the characteristics of sliding bearing oil film are studied by theoretical analysis, and the bearing wear fault diagnosis model is proposed. The model is verified by the actual production. The results show that the proposed diagnostic model can quickly locate the cause of the fault and ensure the safe and stable operation of the equipment.