Due to high flexibility and thin-walled characteristics,the vibration signals generated by flexible thin-walled bearings are weaker than those of ordinary rolling bearings,and display the highly nonlinear and non-stationary features.Additionally,during operation of the bearings,the shape of rings transforms into an elliptical form as a result of large-sized radial deformations,consequently giving rise to occurrence of periodic structural shocks.These characteristics considerably augment the complexity in extracting fault features of the bearings.The structural characteristics of the bearings and the processes and difficulties of fault feature extraction are briefly described.The methods for vibration signal preprocessing and fault feature extraction of the bearings are introduced in detail,and the principles,strengths and weaknesses of different methods are comparatively analyzed.Finally,the development trend of technology for fault feature extraction and condition monitoring of the bearings is prospected.
rolling bearingflexible thin-walled bearingspeed reducervibration signaldenoisingpreprocessingfeature extraction
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