Improved VMD-KFCM algorithm for the fault diagnosis of rolling bearing vibration signals

doi:10.1049/sil2.12026

	Improved VMD-KFCM algorithm for the fault diagnosis of rolling bearing vibration signals
	Chang, Yong 1; Bao, Guangqing 1; Cheng, Sikai 3; He, Ting 2; Yang, Qiaoling 1
刊名	IET SIGNAL PROCESSING
	2021
卷号	15 期号:4 页码:238-250
ISSN号	1751-9675
DOI	10.1049/sil2.12026
英文摘要	In order to make accurate judgements of rolling bearing main fault types using the small sample size fault data set, a novel approach is put forward that combines particle swarm optimisation kernel fuzzy C-means (PSO-KFCM) and variational mode decomposition (VMD). Firstly, by calculating the centre frequency and Pearson correlation coefficient of each mode function of VMD, the decomposition level K of VMD is determined, and the optimal decomposition result is obtained. The singular value decomposition method was used to extract a characteristic value corresponding to the main fault types of bearings from the optimal decomposition results, and faulty feature sample space was established. Then, the kernel function parameters and the initial clustering centre were used as optimisation variables. The PSO algorithm was used to solve the clustering model. The clustering centre of each fault type under the optimal classification result was obtained, and the fault diagnosis model was established. Finally, different fault classification methods are compared, and the conclusions drawn from the experiment show that the method can achieve good results in bearing fault diagnosis. The accuracy of fault classification was improved obviously.
WOS研究方向	Engineering
语种	英语
出版者	WILEY
WOS记录号	WOS:000636484700001
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/148282]
专题	电气工程与信息工程学院
作者单位	1.Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou 730050, Peoples R China; 2.Gansu Nat Energy Res Inst, Lanzhou, Peoples R China 3.Univ Melbourne, Engn Dept, Melbourne, Vic, Australia;
推荐引用方式 GB/T 7714	Chang, Yong,Bao, Guangqing,Cheng, Sikai,et al. Improved VMD-KFCM algorithm for the fault diagnosis of rolling bearing vibration signals[J]. IET SIGNAL PROCESSING,2021,15(4):238-250.
APA	Chang, Yong,Bao, Guangqing,Cheng, Sikai,He, Ting,&Yang, Qiaoling.(2021).Improved VMD-KFCM algorithm for the fault diagnosis of rolling bearing vibration signals.IET SIGNAL PROCESSING,15(4),238-250.
MLA	Chang, Yong,et al."Improved VMD-KFCM algorithm for the fault diagnosis of rolling bearing vibration signals".IET SIGNAL PROCESSING 15.4(2021):238-250.