Affiliation(s):
Guangdong Provincial Key Laboratory of Construction Robotics and Intelligent Construction, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518000, China;
moreAffiliation(s): Guangdong Provincial Key Laboratory of Construction Robotics and Intelligent Construction, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518000, China; School of System Design and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen 518000, China.; Shenzhen EBORAIL Technology Co., Ltd, Shenzhen 518000, China; National Supercomputing Center in Shenzhen, Shenzhen 518055, China; State Key Lab of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China;
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Zengle REN, Yuan WANG, Huiyue TANG, Xinan CHEN, Wei FENG. Time-synchronous-averaging spectrum based on super-resolution analysis and application in bearing fault signal identification[J]. Journal of Zhejiang University Science A,in press.Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/jzus.A2300251
@article{title="Time-synchronous-averaging spectrum based on super-resolution analysis and application in bearing fault signal identification", author="Zengle REN, Yuan WANG, Huiyue TANG, Xinan CHEN, Wei FENG", journal="Journal of Zhejiang University Science A", year="in press", publisher="Zhejiang University Press & Springer", doi="https://doi.org/10.1631/jzus.A2300251" }
%0 Journal Article %T Time-synchronous-averaging spectrum based on super-resolution analysis and application in bearing fault signal identification %A Zengle REN %A Yuan WANG %A Huiyue TANG %A Xinan CHEN %A Wei FENG %J Journal of Zhejiang University SCIENCE A %P %@ 1673-565X %D in press %I Zhejiang University Press & Springer doi="https://doi.org/10.1631/jzus.A2300251"
TY - JOUR T1 - Time-synchronous-averaging spectrum based on super-resolution analysis and application in bearing fault signal identification A1 - Zengle REN A1 - Yuan WANG A1 - Huiyue TANG A1 - Xinan CHEN A1 - Wei FENG J0 - Journal of Zhejiang University Science A SP - EP - %@ 1673-565X Y1 - in press PB - Zhejiang University Press & Springer ER - doi="https://doi.org/10.1631/jzus.A2300251"
Abstract: 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 decompose 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 milliseconds 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).
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