A Simultaneous Fault Diagnosis Method Based on Cohesion Evaluation and Improved BP-MLL for Rotating Machinery

In this paper, an improved simultaneous fault diagnostic algorithm with cohesion-based feature selection and improved backpropagation multilabel learning (BP-MLL) classification is proposed to localize and diagnose different simultaneous faults on gearbox and bearings in rotating machinery. Cohesion...

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Autores principales: Yixuan Zhang, Rui Yang, Mengjie Huang, Yu Han, Yiqi Wang, Yun Di, Dongke Su, Qidong Lu
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Lenguaje:EN
Publicado: Hindawi Limited 2021
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Acceso en línea:https://doaj.org/article/60221ca5fe244bedb8183406542c0def
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spelling oai:doaj.org-article:60221ca5fe244bedb8183406542c0def2021-11-22T01:10:41ZA Simultaneous Fault Diagnosis Method Based on Cohesion Evaluation and Improved BP-MLL for Rotating Machinery1875-920310.1155/2021/7469691https://doaj.org/article/60221ca5fe244bedb8183406542c0def2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/7469691https://doaj.org/toc/1875-9203In this paper, an improved simultaneous fault diagnostic algorithm with cohesion-based feature selection and improved backpropagation multilabel learning (BP-MLL) classification is proposed to localize and diagnose different simultaneous faults on gearbox and bearings in rotating machinery. Cohesion evaluation algorithm selects high sensitivity feature parameters from time and frequency domain in high-dimensional vectors to construct low-dimensional feature vectors. The BP-MLL neural network is utilized for fault diagnosis by classifying the feature vectors. An effective global error function is proposed in BP-MLL neural network by modifying distance function to improve both generalization ability and fault diagnostic ability of full-labeled and nonlabeled situations. To demonstrate the effectiveness of the proposed method, simultaneous fault diagnosis experiments are conducted via wind turbine drivetrain diagnostics simulator (WTDDS). The experiment results show that the proposed method has better overall performance compared with conventional BP-MLL algorithm and some other learning algorithms.Yixuan ZhangRui YangMengjie HuangYu HanYiqi WangYun DiDongke SuQidong LuHindawi LimitedarticlePhysicsQC1-999ENShock and Vibration, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Physics
QC1-999
spellingShingle Physics
QC1-999
Yixuan Zhang
Rui Yang
Mengjie Huang
Yu Han
Yiqi Wang
Yun Di
Dongke Su
Qidong Lu
A Simultaneous Fault Diagnosis Method Based on Cohesion Evaluation and Improved BP-MLL for Rotating Machinery
description In this paper, an improved simultaneous fault diagnostic algorithm with cohesion-based feature selection and improved backpropagation multilabel learning (BP-MLL) classification is proposed to localize and diagnose different simultaneous faults on gearbox and bearings in rotating machinery. Cohesion evaluation algorithm selects high sensitivity feature parameters from time and frequency domain in high-dimensional vectors to construct low-dimensional feature vectors. The BP-MLL neural network is utilized for fault diagnosis by classifying the feature vectors. An effective global error function is proposed in BP-MLL neural network by modifying distance function to improve both generalization ability and fault diagnostic ability of full-labeled and nonlabeled situations. To demonstrate the effectiveness of the proposed method, simultaneous fault diagnosis experiments are conducted via wind turbine drivetrain diagnostics simulator (WTDDS). The experiment results show that the proposed method has better overall performance compared with conventional BP-MLL algorithm and some other learning algorithms.
format article
author Yixuan Zhang
Rui Yang
Mengjie Huang
Yu Han
Yiqi Wang
Yun Di
Dongke Su
Qidong Lu
author_facet Yixuan Zhang
Rui Yang
Mengjie Huang
Yu Han
Yiqi Wang
Yun Di
Dongke Su
Qidong Lu
author_sort Yixuan Zhang
title A Simultaneous Fault Diagnosis Method Based on Cohesion Evaluation and Improved BP-MLL for Rotating Machinery
title_short A Simultaneous Fault Diagnosis Method Based on Cohesion Evaluation and Improved BP-MLL for Rotating Machinery
title_full A Simultaneous Fault Diagnosis Method Based on Cohesion Evaluation and Improved BP-MLL for Rotating Machinery
title_fullStr A Simultaneous Fault Diagnosis Method Based on Cohesion Evaluation and Improved BP-MLL for Rotating Machinery
title_full_unstemmed A Simultaneous Fault Diagnosis Method Based on Cohesion Evaluation and Improved BP-MLL for Rotating Machinery
title_sort simultaneous fault diagnosis method based on cohesion evaluation and improved bp-mll for rotating machinery
publisher Hindawi Limited
publishDate 2021
url https://doaj.org/article/60221ca5fe244bedb8183406542c0def
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