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Alternative TitleDiagnosis of Bearing Fault in Induction Motors Using Hilbert Demodulation Approach
宋向金1,2; 王卓1,2; 胡静涛1,2; 祝洪宇3
Source Publication电工技术学报
Indexed ByEI ; CSCD
EI Accession number20185206291363
Contribution Rank1
Funding Organization国家重点研发计划项目(2016YFD0700100 2016YFD0700105) ; 中国科学院重点部署项目(KFZD-SW-415)资助
Keyword异步电机 轴承故障 Hilbert变换 定子电流


Other Abstract

Because of the influence of the spectral leakage of the main frequency component, eccentricity harmonics and power supply noise, motor current signature analysis (MCSA) is unable to detect the bearing outer raceway fault when an induction motor (IM) operates under the light load conditions. In this paper, a bearing fault diagnosis method based on the squared envelope approach of the motor stator current using Hilbert demodulation technique was proposed. An analytical signal corresponding to the stator current signal was constructed first using Hilbert transform and then a squared envelope was obtained from the analytical signal. Second, the Fast Fourier Transform (FFT) of the squared envelope was investigated. Finally, the motor bearing failure was determined based on whether the characteristic fault frequency fof could be found in the squared envelope spectrum or not. The proposed method can be used to detect the characteristic fault frequency fof directly instead of detecting the sideband components around the supply frequency |f1±fof| as used in traditional MCSA. Thus, the proposed approach can significantly reduce the negative influence of the spectral leakage of the main frequency component spectral and the power supply noise. The experimental results under different load conditions clearly prove the effectiveness and stability of the proposed method.

Citation statistics
Cited Times:1[CSCD]   [CSCD Record]
Document Type期刊论文
Corresponding Author胡静涛
Recommended Citation
GB/T 7714
宋向金,王卓,胡静涛,等. Hilbert解调制方法诊断异步电机轴承故障[J]. 电工技术学报,2018,33(21):4941-4948.
APA 宋向金,王卓,胡静涛,&祝洪宇.(2018).Hilbert解调制方法诊断异步电机轴承故障.电工技术学报,33(21),4941-4948.
MLA 宋向金,et al."Hilbert解调制方法诊断异步电机轴承故障".电工技术学报 33.21(2018):4941-4948.
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