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

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

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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).

Time-synchronous-averaging(TSA)SpectrumQuasiperiodic signal processing(QSP)Super-resolution analysisBearing fault detection

Zengle REN、Yuan WANG、Huiyue TANG、Xin'an CHEN、Wei FENG

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Guangdong Provincial Key Laboratory of Construction Robotics and Intelligent Construction,Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen 518055,China

Shenzhen EBORAIL Technology Co.,Ltd.,Shenzhen 518038,China

National Supercomputing Center in Shenzhen,Shenzhen 518055,China

State Key Lab of Rail Traffic Control and Safety,Beijing Jiaotong University,Beijing 100044,China

University of Chinese Academy of Sciences,Beijing 100190,China

Shenzhen University of Advanced Technology,Shenzhen 518107,China

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National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaShenzhen International Cooperation Research ProgramShenzhen Science and Technology ProgramShenzhen Science and Technology ProgramFoundation of the Department of Science and Technology of Guangdong ProvinceGuangdong Provincial Key Laboratory of Construction Robotics and Intelligent Construction,China

5200819851425804U20A20283U1813222GJHZ20200731095009029RCBS20210609103823048KJZD202309231149160322019TQ05Z6542022KSYS013

2024

10.1631/jzus.A2300251

浙江大学学报(英文版)(A辑:应用物理和工程)
浙江大学

浙江大学学报(英文版)(A辑:应用物理和工程)

CSTPCD
影响因子：0.556
ISSN：1673-565X
年,卷(期)：2024.25(7)
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