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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)
Department数字工厂研究室
Source PublicationIEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING
ISSN1931-4973
2018
Volume13Issue:3Pages:510-516
Indexed BySCI ; EI
EI Accession number20180504692757
WOS IDWOS:000424354500021
Contribution Rank1
Funding OrganizationNational Key Research and Development Program of China [2016YFD0700105] ; Chinese Academy of Sciences [KFZD-SW-415]
KeywordMotor Current Signature Analysis Hilbert Transform Induction Motors Bearing Faults Instantaneous Frequency
Abstract

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.

Language英语
WOS HeadingsScience & Technology ; Technology
WOS SubjectEngineering, Electrical & Electronic
WOS KeywordHilbert-huang Transform ; Damage Detection ; Envelope Analysis ; Element Bearings ; Neural-network ; Diagnosis ; Vibration ; Machines ; Signal ; Classification
WOS Research AreaEngineering
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/21521
Collection数字工厂研究室
Corresponding AuthorHu JT(胡静涛)
Affiliation1.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
Recommended Citation
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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