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Robust fault diagnosis of a high-voltage circuit breaker via an ensemble echo state network with evidence fusion

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Bibliographic Details
Main Authors:	Xiaofeng, Li, Xiaoying, Zheng, Tao, Zhang
Format:	Book
Language:	English
Published:	Springer 2023
Subjects:	Reliable mechanical fault diagnosis Dempster–Shafer evidence
Online Access:	https://link.springer.com/article/10.1007/s40747-023-01025-3 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8075
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spelling	oai:localhost:PNK-80752023-04-19T06:41:24Z Robust fault diagnosis of a high-voltage circuit breaker via an ensemble echo state network with evidence fusion Xiaofeng, Li Xiaoying, Zheng Tao, Zhang Reliable mechanical fault diagnosis Dempster–Shafer evidence CC BY Reliable mechanical fault diagnosis of high-voltage circuit breakers is important to ensure the safety of electric power systems. Recent fault diagnosis approaches are mostly based on a single classifier whose performance relies heavily on expert prior knowledge. In this study, we propose an improved Dempster–Shafer evidence theory fused echo state neural network, an ensemble classifier for fault diagnosis. Evidence credibility is calculated through the evidence deviation matrix and the segmented circle function and employed as credibility weights to rectify the raw evidence. Then, an improved Dempster–Shafer evidence fusion algorithm is proposed to fuse evidence from different echo state network modules and sensors. Unlike conventional classifiers, the proposed methodology consists of multiple echo state neural network modules. It has better flexibility and stronger robustness, and its model performance is not sensitive to network parameters. 2023-04-19T06:41:24Z 2023-04-19T06:41:24Z 2023 Book https://link.springer.com/article/10.1007/s40747-023-01025-3 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8075 en application/pdf Springer
institution	Digital Phenikaa
collection	Digital Phenikaa
language	English
topic	Reliable mechanical fault diagnosis Dempster–Shafer evidence
spellingShingle	Reliable mechanical fault diagnosis Dempster–Shafer evidence Xiaofeng, Li Xiaoying, Zheng Tao, Zhang Robust fault diagnosis of a high-voltage circuit breaker via an ensemble echo state network with evidence fusion
description	CC BY
format	Book
author	Xiaofeng, Li Xiaoying, Zheng Tao, Zhang
author_facet	Xiaofeng, Li Xiaoying, Zheng Tao, Zhang
author_sort	Xiaofeng, Li
title	Robust fault diagnosis of a high-voltage circuit breaker via an ensemble echo state network with evidence fusion
title_short	Robust fault diagnosis of a high-voltage circuit breaker via an ensemble echo state network with evidence fusion
title_full	Robust fault diagnosis of a high-voltage circuit breaker via an ensemble echo state network with evidence fusion
title_fullStr	Robust fault diagnosis of a high-voltage circuit breaker via an ensemble echo state network with evidence fusion
title_full_unstemmed	Robust fault diagnosis of a high-voltage circuit breaker via an ensemble echo state network with evidence fusion
title_sort	robust fault diagnosis of a high-voltage circuit breaker via an ensemble echo state network with evidence fusion
publisher	Springer
publishDate	2023
url	https://link.springer.com/article/10.1007/s40747-023-01025-3 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8075
_version_	1763633856273973248
score	8.891145

Robust fault diagnosis of a high-voltage circuit breaker via an ensemble echo state network with evidence fusion

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