Multiple Transient Extraction Algorithm and Its Application in Bearing Fault Diagnosis

Transient impulsive signal is usually related with the bearing or gear local defect. It is very difficult to extract those multi-transient features due to the non-stationary of the corresponding vibration signals of rotating machinery. Time-frequency analysis is a suitable tool for analyzing non-sta...

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Autores principales:	Jie Zhao, Zhigang Chen, Yanxue Wang, Meng Li, Xinrong Zhong, Zhichuan Zhao
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Fault diagnosis multiple iterations multiple transient extracting transform time-frequency analysis Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/de70a34d99674677aba16f57cca5a52d
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spelling	oai:doaj.org-article:de70a34d99674677aba16f57cca5a52d2021-11-19T00:05:54ZMultiple Transient Extraction Algorithm and Its Application in Bearing Fault Diagnosis2169-353610.1109/ACCESS.2021.3065825https://doaj.org/article/de70a34d99674677aba16f57cca5a52d2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9377448/https://doaj.org/toc/2169-3536Transient impulsive signal is usually related with the bearing or gear local defect. It is very difficult to extract those multi-transient features due to the non-stationary of the corresponding vibration signals of rotating machinery. Time-frequency analysis is a suitable tool for analyzing non-stationary signals. A multiple transient extracting transform has been proposed in this work, which can not only effectively detect the multiple transient information in the signal, but also achieve a more concentrated time-frequency representation. The results of numerical simulation show the effectiveness of this proposed method. The proposed multi-transient extracting transform can better locate the transient features and has a lower time-consuming and better noise robustness, compared with the traditional time-frequency analysis methods. Finally, multi-transient extraction algorithm is utilized to analyze practical bearing vibration signals. It has been well demonstrated that the proposed method is more effective than other advanced time-frequency methods in the field of transient feature extraction.Jie ZhaoZhigang ChenYanxue WangMeng LiXinrong ZhongZhichuan ZhaoIEEEarticleFault diagnosismultiple iterationsmultiple transient extracting transformtime-frequency analysisElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 42397-42408 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Fault diagnosis multiple iterations multiple transient extracting transform time-frequency analysis Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Fault diagnosis multiple iterations multiple transient extracting transform time-frequency analysis Electrical engineering. Electronics. Nuclear engineering TK1-9971 Jie Zhao Zhigang Chen Yanxue Wang Meng Li Xinrong Zhong Zhichuan Zhao Multiple Transient Extraction Algorithm and Its Application in Bearing Fault Diagnosis
description	Transient impulsive signal is usually related with the bearing or gear local defect. It is very difficult to extract those multi-transient features due to the non-stationary of the corresponding vibration signals of rotating machinery. Time-frequency analysis is a suitable tool for analyzing non-stationary signals. A multiple transient extracting transform has been proposed in this work, which can not only effectively detect the multiple transient information in the signal, but also achieve a more concentrated time-frequency representation. The results of numerical simulation show the effectiveness of this proposed method. The proposed multi-transient extracting transform can better locate the transient features and has a lower time-consuming and better noise robustness, compared with the traditional time-frequency analysis methods. Finally, multi-transient extraction algorithm is utilized to analyze practical bearing vibration signals. It has been well demonstrated that the proposed method is more effective than other advanced time-frequency methods in the field of transient feature extraction.
format	article
author	Jie Zhao Zhigang Chen Yanxue Wang Meng Li Xinrong Zhong Zhichuan Zhao
author_facet	Jie Zhao Zhigang Chen Yanxue Wang Meng Li Xinrong Zhong Zhichuan Zhao
author_sort	Jie Zhao
title	Multiple Transient Extraction Algorithm and Its Application in Bearing Fault Diagnosis
title_short	Multiple Transient Extraction Algorithm and Its Application in Bearing Fault Diagnosis
title_full	Multiple Transient Extraction Algorithm and Its Application in Bearing Fault Diagnosis
title_fullStr	Multiple Transient Extraction Algorithm and Its Application in Bearing Fault Diagnosis
title_full_unstemmed	Multiple Transient Extraction Algorithm and Its Application in Bearing Fault Diagnosis
title_sort	multiple transient extraction algorithm and its application in bearing fault diagnosis
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/de70a34d99674677aba16f57cca5a52d
work_keys_str_mv	AT jiezhao multipletransientextractionalgorithmanditsapplicationinbearingfaultdiagnosis AT zhigangchen multipletransientextractionalgorithmanditsapplicationinbearingfaultdiagnosis AT yanxuewang multipletransientextractionalgorithmanditsapplicationinbearingfaultdiagnosis AT mengli multipletransientextractionalgorithmanditsapplicationinbearingfaultdiagnosis AT xinrongzhong multipletransientextractionalgorithmanditsapplicationinbearingfaultdiagnosis AT zhichuanzhao multipletransientextractionalgorithmanditsapplicationinbearingfaultdiagnosis
_version_	1718420700060975104

Multiple Transient Extraction Algorithm and Its Application in Bearing Fault Diagnosis

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