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...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2021/7469691 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832568147310280704 |
|---|---|
| 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 |
| collection | DOAJ |
| 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 |
| id | doaj-art-60221ca5fe244bedb8183406542c0def |
| institution | Kabale University |
| issn | 1875-9203 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-60221ca5fe244bedb8183406542c0def2025-02-03T00:59:41ZengWileyShock and Vibration1875-92032021-01-01202110.1155/2021/7469691A Simultaneous Fault Diagnosis Method Based on Cohesion Evaluation and Improved BP-MLL for Rotating MachineryYixuan Zhang0Rui Yang1Mengjie Huang2Yu Han3Yiqi Wang4Yun Di5Dongke Su6Qidong Lu7Xi’an Jiaotong-Liverpool UniversityXi’an Jiaotong-Liverpool UniversityXi’an Jiaotong-Liverpool UniversityXi’an Jiaotong-Liverpool UniversityXi’an Jiaotong-Liverpool UniversityXi’an Jiaotong-Liverpool UniversityXi’an Jiaotong-Liverpool UniversityWeihai Beiyang Electric GroupIn 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.http://dx.doi.org/10.1155/2021/7469691 |
| spellingShingle | 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 Shock and Vibration |
| title | 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_short | 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 |
| url | http://dx.doi.org/10.1155/2021/7469691 |
| work_keys_str_mv | AT yixuanzhang asimultaneousfaultdiagnosismethodbasedoncohesionevaluationandimprovedbpmllforrotatingmachinery AT ruiyang asimultaneousfaultdiagnosismethodbasedoncohesionevaluationandimprovedbpmllforrotatingmachinery AT mengjiehuang asimultaneousfaultdiagnosismethodbasedoncohesionevaluationandimprovedbpmllforrotatingmachinery AT yuhan asimultaneousfaultdiagnosismethodbasedoncohesionevaluationandimprovedbpmllforrotatingmachinery AT yiqiwang asimultaneousfaultdiagnosismethodbasedoncohesionevaluationandimprovedbpmllforrotatingmachinery AT yundi asimultaneousfaultdiagnosismethodbasedoncohesionevaluationandimprovedbpmllforrotatingmachinery AT dongkesu asimultaneousfaultdiagnosismethodbasedoncohesionevaluationandimprovedbpmllforrotatingmachinery AT qidonglu asimultaneousfaultdiagnosismethodbasedoncohesionevaluationandimprovedbpmllforrotatingmachinery AT yixuanzhang simultaneousfaultdiagnosismethodbasedoncohesionevaluationandimprovedbpmllforrotatingmachinery AT ruiyang simultaneousfaultdiagnosismethodbasedoncohesionevaluationandimprovedbpmllforrotatingmachinery AT mengjiehuang simultaneousfaultdiagnosismethodbasedoncohesionevaluationandimprovedbpmllforrotatingmachinery AT yuhan simultaneousfaultdiagnosismethodbasedoncohesionevaluationandimprovedbpmllforrotatingmachinery AT yiqiwang simultaneousfaultdiagnosismethodbasedoncohesionevaluationandimprovedbpmllforrotatingmachinery AT yundi simultaneousfaultdiagnosismethodbasedoncohesionevaluationandimprovedbpmllforrotatingmachinery AT dongkesu simultaneousfaultdiagnosismethodbasedoncohesionevaluationandimprovedbpmllforrotatingmachinery AT qidonglu simultaneousfaultdiagnosismethodbasedoncohesionevaluationandimprovedbpmllforrotatingmachinery |