Time-extracting S-transform algorithm and its application in rolling bearing fault diagnosis

作     者：XU YongGang WANG Liang HU AiJun YU Gang XU YongGang;WANG Liang;HU AiJun;YU Gang

作者机构：Beijing Engineering Research Center of Precision Measurement Technology and InstrumentsFaculty of Materials and ManufacturingBeijing University of TechnologyBeijing 100124China Department of Mechanical EngineeringNorth China Electric Power UniversityBaoding 071003China School of Electrical EngineeringUniversity of JinanJinan 250022China 

出 版 物：《Science China(Technological Sciences)》 (中国科学（技术科学英文版）)

年 卷 期：2022年第65卷第4期

页      面：932-942页

核心收录：

学科分类：08[工学] 080401[工学-精密仪器及机械] 080203[工学-机械设计及理论] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 0838[工学-公安技术] 0802[工学-机械工程] 080201[工学-机械制造及其自动化] 

基　　金：supported by the National Natural Science Foundation of China (Grant Nos. 51775005 and 51675009) 

主　　题：time-extracting S-transform time-frequency analysis pulse signal fault diagnosis short-time Fourier transform 

摘      要：Time-frequency(TF)analysis(TFA)is one of the effective methods to deal with non-stationary *** to their advantages,many experts and scholars have recently developed post-processing algorithms based on traditional *** them,shorttime Fourier transform(STFT)based post-processing algorithms have developed the ***,these methods rely heavily on the window length selected in STFT,which has great influence on the post-processing *** this paper,a postprocessing algorithm for effectively processing pulse signals was proposed and called time-extracting S-transform(TEST).The time-domain extraction method based on S-transform avoids the influence of uncertain *** comparing the performance of various TFA methods when processing analog signals,the proposed TEST can clearly show the pulse occurrence time under the premise of ensuring high TF *** actual signal proves that the method can be used for fault diagnosis of rolling bearings.