Method Integrate EWT Multi-scale Permutation Entropy with GG Clustering for Bearing Fault Diagnosis

doi:10.16450/j.cnki.issn.1004-6801.2019.02.028

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	Method Integrate EWT Multi-scale Permutation Entropy with GG Clustering for Bearing Fault Diagnosis
	Zhao, Rongzhen; Li, Jipu; Deng, Linfeng
刊名	Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis
	2019-04-01
卷号	39 期号:2 页码:416-423
关键词	Correlation methods Entropy Failure analysis Fault detection Principal component analysis Roller bearings Wavelet transforms Bearing fault diagnosis Correlation analysis Fault diagnosis method GG clustering Intrinsic mode components Mode combination method Non stationary characteristics Permutation entropy
ISSN号	10046801
DOI	10.16450/j.cnki.issn.1004-6801.2019.02.028
英文摘要	In the light of the identification of the faults type of rolling bearing, which is hard due to the non-linear and non-stationary characteristics of the fault signals, a method of fault identification is proposed. It consists of the experience wavelet transform (EWT), multi-scale permutation entropy (MPE) and GG (Gath-Geva) clustering algorithm. First of all, the original signals of rolling bearing are decomposed into many intrinsic mode components based on the EWT decomposition. Then, the state features of the rolling bearing are preliminary extracted; the optimal modal component is selected with correlation analysis, and the permutation entropy is calculated in multiple scales. Finally, the principal component analysis (PCA) is used to reduce the dimension of the entropy feature vector for visualization, and low features subset is introduced into the GG clustering algorithm to realize the fault diagnosis of the rolling bearing. Comparisons with other mode combination method show that the proposed fault diagnosis method has certainly advantages, which better fault recognition effect. © 2019, Editorial Department of JVMD. All right reserved.
语种	中文
出版者	Nanjing University of Aeronautics an Astronautics
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/113926]
专题	机电工程学院
作者单位	School of Mechanical and Electrical Engineering, Lanzhou University of Technology, Lanzhou; 730050, China
推荐引用方式 GB/T 7714	Zhao, Rongzhen,Li, Jipu,Deng, Linfeng. Method Integrate EWT Multi-scale Permutation Entropy with GG Clustering for Bearing Fault Diagnosis[J]. Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis,2019,39(2):416-423.
APA	Zhao, Rongzhen,Li, Jipu,&Deng, Linfeng.(2019).Method Integrate EWT Multi-scale Permutation Entropy with GG Clustering for Bearing Fault Diagnosis.Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis,39(2),416-423.
MLA	Zhao, Rongzhen,et al."Method Integrate EWT Multi-scale Permutation Entropy with GG Clustering for Bearing Fault Diagnosis".Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis 39.2(2019):416-423.