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 

机构地区：[1]Guangdong Provincial Key Laboratory of Construction Robotics and Intelligent Construction,Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen,518055,China [2]Shenzhen EBORAIL Technology Co.,Ltd.,Shenzhen,518038,China [3]National Supercomputing Center in Shenzhen,Shenzhen,518055,China [4]State Key Lab of Rail Traffic Control and Safety,Beijing Jiaotong University,Beijing,100044,China [5]University of Chinese Academy of Sciences,Beijing,100190,China [6]Shenzhen University of Advanced Technology,Shenzhen,518107,China

出　　处：《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》2024年第7期573-585,共13页浙江大学学报（英文版）A辑（应用物理与工程）

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.

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 undistorted.This paper studies the mathematical properties of TSA,where three propositions are given to reveal the nature of TSA.This paper also proposes a TSA-spectrum based on super-resolution analysis and it decomposes a signal without using any base function.In 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 signal.Finally,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 difference.The extracted fault signals are presented and some insights are provided.We believe that this paper can provide new motivation for TSA-spectrum to be widely used in applications involving quasiperiodic signal processing(QSP).

关 键 词：Time-synchronous-averaging(TSA) SPECTRUM Quasiperiodic signal processing(QSP) Super-resolution analysis Bearingfaultdetection 

分 类 号：TN911.7[电子电信—通信与信息系统] TH133.3[电子电信—信息与通信工程]