S-Transform based time–frequency analysis tool with application to detection of bearing fault

Abstract

Faults developed in bearings are one of the prime reasons leading to mechanical damage. Recently, the novel technology synchrosqueezing extracting transform was proposed to capture the transient impulses in the non-stationary signal for fault diagnosis. Compared with traditional technology, this method has better anti-interference ability and faster processing speed. However, the method is a method based on short-time Fourier transform (STFT), S-transform (ST) is superior due to its higher time resolution in T-F spectrogram, ability to realize lossless inverse transformation, and property of retaining the original signal phase. Considering the advantages of ST over STFT, we apply this method to the ST in the study, time-reassigned synchrosqueezing extracting S-transform (TSSEST) is proposed and applied to perform analog signal and experimental bearing defect data to verify the effectiveness of the technique developed in a step-by-step manner. The results show that the effectiveness of our method.