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A bearing outer raceway fault detection method in induction motors based on instantaneous frequency of the stator current
Song XJ(宋向金); Hu JT(胡静涛); Zhu HY(祝洪宇); Zhang JL(张吉龙)
作者部门数字工厂研究室
关键词Motor Current Signature Analysis Hilbert Transform Induction Motors Bearing Faults Instantaneous Frequency
发表期刊IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING
ISSN1931-4973
2018
卷号13期号:3页码:510-516
收录类别SCI ; EI
EI收录号20180504692757
WOS记录号WOS:000424354500021
产权排序1
资助机构National Key Research and Development Program of China [2016YFD0700105] ; Chinese Academy of Sciences [KFZD-SW-415]
摘要

Induction motors (IMs) are widely used in agricultural, industrial, and commercial applications. Bearing faults are one of the most common causes of breakdown in IMs. Motor current signature analysis (MCSA) is becoming a popular tool for bearing fault detection because of its cost effectiveness and noninvasiveness. However, when a motor operates under low-load and lower load conditions, MCSA cannot be used to detect the bearing outer raceway fault because of the influence of the supply frequency component spectrum leakage, eccentricity harmonics, and other noises. In this paper, a new method for the fault detection of bearing outer raceway fault in IMs is proposed. The method is based on the analysis of the instantaneous frequency (IF) of the IM stator current using Hilbert transform, and Fast Fourier Transform (FFT) spectrum analysis is used to detect the frequency associated with the bearing outer raceway fault. The proposed method can significantly reduce the negative influence of the supply frequency component spectrum leakage, and thus can enhance the fault features to detect bearing outer raceway fault under low-load and lower load conditions, compared with the traditional MCSA method. Finally, the experimental results on an IM with bearing outer raceway fault prove the effectiveness of the proposed method. (c) 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

语种英语
WOS标题词Science & Technology ; Technology
WOS类目Engineering, Electrical & Electronic
关键词[WOS]Hilbert-huang Transform ; Damage Detection ; Envelope Analysis ; Element Bearings ; Neural-network ; Diagnosis ; Vibration ; Machines ; Signal ; Classification
WOS研究方向Engineering
引用统计
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/21521
专题数字工厂研究室
通讯作者Hu JT(胡静涛)
作者单位1.Key Laboratory of Networked Control System, Shenyang Institute of Automation, Chinese Academy of Science, Shenyang 110016, China
2.University of Chinese Academy of Sciences, Beijing 100039, China
推荐引用方式
GB/T 7714
Song XJ,Hu JT,Zhu HY,et al. A bearing outer raceway fault detection method in induction motors based on instantaneous frequency of the stator current[J]. IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING,2018,13(3):510-516.
APA Song XJ,Hu JT,Zhu HY,&Zhang JL.(2018).A bearing outer raceway fault detection method in induction motors based on instantaneous frequency of the stator current.IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING,13(3),510-516.
MLA Song XJ,et al."A bearing outer raceway fault detection method in induction motors based on instantaneous frequency of the stator current".IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 13.3(2018):510-516.
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