The Study of Rotor Fault Feature Recognition Based on EEMD-ICA Denoising Method

International Conference on Manufacturing Technology, Materials and Chemical Engineering

机械制造;材料科学;化学工业

Liu, Shuyi^1 ; Tian, Mei^1 ; Yang, Zhuojuan^1 ; Liu, Wenliang^2,3

JILIN ENGINEERING NORMAL UNIVERSITY, Mechanical Engineering Institute, United Kingdom^1

Yeal Electrical Appliance Co. Ltd., Changchun Jilin Province

130113, China^2

No. 3050 Kaixuan Road, Kuancheng District Changchun, Jilin Province, China^3

关键词: Aliasing phenomena;    De-noising;    Denoising methods;    Noise components;    Noise interference;    Rotor fault;    Rotor fault diagnosis;    Signal de-noising;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/392/2/022024/pdf
DOI  :  10.1088/1757-899X/392/2/022024

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

Aiming at the problem of large noise interference and difficulty in extracting faults during rotor fault diagnosis, a signal de-noising method based on EEMD-ICA was proposed. This method can effectively suppress the modal aliasing phenomenon and accurately separate the noise components contained in signals. Experimental results show that the denoising effect of proposed method was obvious and the rotor fault features can be effectively identified.