
Research on Fault Diagnosis Method of Rolling Bearing
Author(s) -
Huan Zhou,
Wang Hao
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/740/1/012148
Subject(s) - bearing (navigation) , fault (geology) , signal (programming language) , vibration , acceleration , engineering , structural engineering , computer science , component (thermodynamics) , automotive engineering , artificial intelligence , acoustics , geology , physics , classical mechanics , seismology , thermodynamics , programming language
Rolling bearings are often used as supporting parts in mechanical equipment. Its damage will often lead to the damage of related parts, resulting in the failure of the whole system and leading to shutdown and other accidents. From the point of view of diagnosis technology, rolling bearing is the key part of rotary machinery and the main object of monitoring and diagnosis. The reason for rolling bearing fault diagnosis is to ensure reliable operation of the bearing under various working environments, thus ensuring the working accuracy of the whole machine. When some component of the bearing works and produces defects, the bearing signal measured by the acceleration sensor has the characteristic of periodic impact. In this paper, the basic characteristics of bearing fault signals are analyzed, and the method of extracting fault symptoms of rolling bearings from vibration signals is discussed.