Fault Diagnosis of Rolling Bearing under Variable Speed Conditions using Multisynchrosqueezing Transform

Abstract

Fault diagnosis of rolling bearing has always been the focus of engineering research. Under variable speed conditions, the fault characteristic frequency will change with time. Time-frequency analysis method is an effective tool for studying time-varying signals, but the traditional time-frequency analysis method is easy to generate a plane with low time-frequency resolution and poor energy concentration, which is difficult to meet the requirements of practical applications. In this paper, we introduce a recently developed time-frequency post-processing technique, called multisynchrosqueezing transform. By performing multiple SST operations, this method can greatly improve the time-frequency energy concentration and obtain a satisfactory representation. Finally, this method was used to diagnose the rolling bearing faults in variable speed conditions successfully, and the effect was better than the traditional time-frequency analysis methods.