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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Hindawi Limited
2021
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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) |
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Physics QC1-999 |
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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 |
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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 |
work_keys_str_mv |
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