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State-Degradation-Oriented Fault Diagnosis for High-Speed Train Running Gears System

As one of the critical components of high-speed trains, the running gears system directly affects the operation performance of the train. This paper proposes a state-degradation-oriented method for fault diagnosis of an actual running gears system based on the Wiener state degradation process and mu...

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Autores principales: Cheng, Chao, Wang, Weijun, Luo, Hao, Zhang, Bangcheng, Cheng, Guoli, Teng, Wanxiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7071086/
https://www.ncbi.nlm.nih.gov/pubmed/32070006
http://dx.doi.org/10.3390/s20041017
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author Cheng, Chao
Wang, Weijun
Luo, Hao
Zhang, Bangcheng
Cheng, Guoli
Teng, Wanxiu
author_facet Cheng, Chao
Wang, Weijun
Luo, Hao
Zhang, Bangcheng
Cheng, Guoli
Teng, Wanxiu
author_sort Cheng, Chao
collection PubMed
description As one of the critical components of high-speed trains, the running gears system directly affects the operation performance of the train. This paper proposes a state-degradation-oriented method for fault diagnosis of an actual running gears system based on the Wiener state degradation process and multi-sensor filtering. First of all, for the given measurements of the high-speed train, this paper considers the information acquisition and transfer characteristics of composite sensors, which establish a distributed topology for axle box bearing. Secondly, a distributed filtering is built based on the bilinear system model, and the gain parameters of the filter are designed to minimize the mean square error. For a better presentation of the degradation characteristics in actual operation, this paper constructs an improved nonlinear model. Finally, threshold is determined based on the Chebyshev’s inequality for a reliable fault diagnosis. Open datasets of rotating machinery bearings and the real measurements are utilized in the case studies to demonstrate the effectiveness of the proposed method. Results obtained in this paper are consistent with the actual situation, which validate the proposed methods.
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spelling pubmed-70710862020-03-19 State-Degradation-Oriented Fault Diagnosis for High-Speed Train Running Gears System Cheng, Chao Wang, Weijun Luo, Hao Zhang, Bangcheng Cheng, Guoli Teng, Wanxiu Sensors (Basel) Article As one of the critical components of high-speed trains, the running gears system directly affects the operation performance of the train. This paper proposes a state-degradation-oriented method for fault diagnosis of an actual running gears system based on the Wiener state degradation process and multi-sensor filtering. First of all, for the given measurements of the high-speed train, this paper considers the information acquisition and transfer characteristics of composite sensors, which establish a distributed topology for axle box bearing. Secondly, a distributed filtering is built based on the bilinear system model, and the gain parameters of the filter are designed to minimize the mean square error. For a better presentation of the degradation characteristics in actual operation, this paper constructs an improved nonlinear model. Finally, threshold is determined based on the Chebyshev’s inequality for a reliable fault diagnosis. Open datasets of rotating machinery bearings and the real measurements are utilized in the case studies to demonstrate the effectiveness of the proposed method. Results obtained in this paper are consistent with the actual situation, which validate the proposed methods. MDPI 2020-02-13 /pmc/articles/PMC7071086/ /pubmed/32070006 http://dx.doi.org/10.3390/s20041017 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Cheng, Chao
Wang, Weijun
Luo, Hao
Zhang, Bangcheng
Cheng, Guoli
Teng, Wanxiu
State-Degradation-Oriented Fault Diagnosis for High-Speed Train Running Gears System
title State-Degradation-Oriented Fault Diagnosis for High-Speed Train Running Gears System
title_full State-Degradation-Oriented Fault Diagnosis for High-Speed Train Running Gears System
title_fullStr State-Degradation-Oriented Fault Diagnosis for High-Speed Train Running Gears System
title_full_unstemmed State-Degradation-Oriented Fault Diagnosis for High-Speed Train Running Gears System
title_short State-Degradation-Oriented Fault Diagnosis for High-Speed Train Running Gears System
title_sort state-degradation-oriented fault diagnosis for high-speed train running gears system
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7071086/
https://www.ncbi.nlm.nih.gov/pubmed/32070006
http://dx.doi.org/10.3390/s20041017
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