Compound Fault Diagnosis of Rolling Bearing Based on ALIF-KELM

Aiming at the shortcomings of difficult classification of rolling bearing compound faults and low recognition accuracy, a composite fault diagnosis method of rolling bearing combined with ALIF and KELM is proposed. First, the basic concepts of ALIF and KELM are introduced, and then ALIF is used to d...

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Autores principales:	Jie Ma, Shitong Liang, Zhengyu Du, Ming Chen
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/e344771b41c849a2952bcf6680ed322c
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spelling	oai:doaj.org-article:e344771b41c849a2952bcf6680ed322c2021-11-08T02:36:16ZCompound Fault Diagnosis of Rolling Bearing Based on ALIF-KELM1563-514710.1155/2021/2636302https://doaj.org/article/e344771b41c849a2952bcf6680ed322c2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/2636302https://doaj.org/toc/1563-5147Aiming at the shortcomings of difficult classification of rolling bearing compound faults and low recognition accuracy, a composite fault diagnosis method of rolling bearing combined with ALIF and KELM is proposed. First, the basic concepts of ALIF and KELM are introduced, and then ALIF is used to decompose the sample data of vibration signals of different bearing states so that each sample can get several IMFs, select the top K IMFs containing the main fault information from each sample, calculate the energy feature and sample entropy of each IMF, and construct a fault feature vector with a dimension of 2K. Finally, the feature vectors of the training set and the test set are input into the KELM model for fault classification. Experimental results show that, compared with EMD-KELM model, ALIF-ELM model, ALIF-BP model, and IFD-KELM model, the rolling bearing composite fault diagnosis method based on the ALIF-KELM model has higher classification accuracy.Jie MaShitong LiangZhengyu DuMing ChenHindawi LimitedarticleEngineering (General). Civil engineering (General)TA1-2040MathematicsQA1-939ENMathematical Problems in Engineering, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939
spellingShingle	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939 Jie Ma Shitong Liang Zhengyu Du Ming Chen Compound Fault Diagnosis of Rolling Bearing Based on ALIF-KELM
description	Aiming at the shortcomings of difficult classification of rolling bearing compound faults and low recognition accuracy, a composite fault diagnosis method of rolling bearing combined with ALIF and KELM is proposed. First, the basic concepts of ALIF and KELM are introduced, and then ALIF is used to decompose the sample data of vibration signals of different bearing states so that each sample can get several IMFs, select the top K IMFs containing the main fault information from each sample, calculate the energy feature and sample entropy of each IMF, and construct a fault feature vector with a dimension of 2K. Finally, the feature vectors of the training set and the test set are input into the KELM model for fault classification. Experimental results show that, compared with EMD-KELM model, ALIF-ELM model, ALIF-BP model, and IFD-KELM model, the rolling bearing composite fault diagnosis method based on the ALIF-KELM model has higher classification accuracy.
format	article
author	Jie Ma Shitong Liang Zhengyu Du Ming Chen
author_facet	Jie Ma Shitong Liang Zhengyu Du Ming Chen
author_sort	Jie Ma
title	Compound Fault Diagnosis of Rolling Bearing Based on ALIF-KELM
title_short	Compound Fault Diagnosis of Rolling Bearing Based on ALIF-KELM
title_full	Compound Fault Diagnosis of Rolling Bearing Based on ALIF-KELM
title_fullStr	Compound Fault Diagnosis of Rolling Bearing Based on ALIF-KELM
title_full_unstemmed	Compound Fault Diagnosis of Rolling Bearing Based on ALIF-KELM
title_sort	compound fault diagnosis of rolling bearing based on alif-kelm
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/e344771b41c849a2952bcf6680ed322c
work_keys_str_mv	AT jiema compoundfaultdiagnosisofrollingbearingbasedonalifkelm AT shitongliang compoundfaultdiagnosisofrollingbearingbasedonalifkelm AT zhengyudu compoundfaultdiagnosisofrollingbearingbasedonalifkelm AT mingchen compoundfaultdiagnosisofrollingbearingbasedonalifkelm
_version_	1718443146029826048

Compound Fault Diagnosis of Rolling Bearing Based on ALIF-KELM

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