Time-synchronous-averaging-spectrum based on super-resolution analysis and application in bearing fault signal identification

作     者：Zengle REN Yuan WANG Huiyue TANG Xin'an CHEN Wei FENG Zengle REN;Yuan WANG;Huiyue TANG;Xin'an CHEN;Wei FENG

作者机构：Guangdong Provincial Key Laboratory of Construction Robotics and Intelligent ConstructionShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen518055China Shenzhen EBORAIL Technology Co.Ltd.Shenzhen518038China National Supercomputing Center in ShenzhenShenzhen518055China State Key Lab of Rail Traffic Control and SafetyBeijing Jiaotong UniversityBeijing100044China University of Chinese Academy of SciencesBeijing100190China Shenzhen University of Advanced TechnologyShenzhen518107China 

出 版 物：《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 (浙江大学学报（英文版）A辑（应用物理与工程）)

年 卷 期：2024年第25卷第7期

页      面：573-585页

核心收录：

学科分类：0711[理学-系统科学] 07[理学] 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] 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(Nos.52008198,51425804,U20A20283,and U1813222) the Shenzhen International Cooperation Research Program(No.GJHZ20200731095009029) the Shenzhen Science and Technology Program(Nos.RCBS20210609103823048 and KJZD20230923114916032) the Foundation of the Department of Science and Technology of Guangdong Province(No.2019TQ05Z654) the Guangdong Provincial Key Laboratory of Construction Robotics and Intelligent Construction(No.2022KSYS013),China 

主　　题：Time-synchronous-averaging(TSA) Spectrum Quasiperiodic signal processing(QSP) Super-resolution analysis Bearingfaultdetection 

摘      要：Time-synchronous-averaging(TSA)is based on the idea of denoising by averaging,and it extracts the periodic components of a quasiperiodic signal and keeps the extracted waveform *** paper studies the mathematical properties of TSA,where three propositions are given to reveal the nature of *** paper also proposes a TSA-spectrum based on super-resolution analysis and it decomposes a signal without using any base *** contrast to discrete Fourier transform spectrum(DFT-spectrum),which is a spectrum in frequency domain,TSA-spectrum is a period-based spectrum,which can present more details of the cross effects between different periodic components of a quasiperiodic ***,a case study is carried out using bearing fault analysis to illustrate the performance of TSA-spectrum,where the rotation speed fluctuation of the shaft is estimated,which is about 0.12 ms *** extracted fault signals are presented and some insights are *** believe that this paper can provide new motivation for TSA-spectrum to be widely used in applications involving quasiperiodic signal processing(QSP).