Open AccessFault Diagnosis of Rolling Bearing under Variable Speed Conditions using Multisynchrosqueezing Transform
Author(s) -
Qi Liu,
Yanxue Wang
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 - 10.1088/1742-6596/1820/1/012124
Subject(s) - time–frequency analysis , bearing (navigation) , fault (geology) , computer science , variable (mathematics) , energy (signal processing) , focus (optics) , frequency analysis , representation (politics) , algorithm , artificial intelligence , mathematics , telecommunications , statistics , mathematical analysis , physics , seismology , optics , geology , radar , politics , law , political science
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.