Defect diagnostics of roller bearing using instantaneous frequency normalization under fluctuant rotating speed
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- 作者：T. Y. Wu ; C. H. Lai ; D. C. Liu
- 关键词：Bearing defect ; Empirical mode decomposition (EMD) ; Fluctuant rotation speed ; Hilbert ; Huang transform ; Instantaneous frequency normalization ; Support vector machine (SVM)
- 刊名：Journal of Mechanical Science and Technology
- 出版年：2016
- 出版时间：March 2016
- 年：2016
- 卷：30
- 期：3
- 页码：1037-1048
- 全文大小：12,690 KB
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C. H. Lai (2)
D. C. Liu (1)
1. Department of Mechanical Engineering, National Chung Hsing University, Taichung City, Taiwan
2. Sino Environmental Service Co., Taichung City, Taiwan - 刊物类别：Engineering
- 刊物主题：Mechanical Engineering
Structural Mechanics
Control Engineering
Industrial and Production Engineering - 出版者：The Korean Society of Mechanical Engineers
- ISSN：1976-3824
文摘
We investigated the feasibility of utilizing the normalized characteristic frequencies for diagnosing the defective roller bearings in case of fluctuant rotating speeds. The time-frequency distributions of the envelope signals of the vibration data were constructed through the Empirical mode decomposition (EMD) as well as the instantaneous frequency calculation. The bearing defect-related frequencies were then normalized with respect to the instantaneous rotation frequency of the shaft so that the factor of the rotating speed fluctuation was removed; thus the characteristic frequencies of bearing malfunctions could be observed in terms of constant values. The magnitude distributions of the marginal envelope spectra at the corresponding normalized bearing defect-related frequencies were extracted as the feature vectors. The Support vector machine (SVM) was used to classify the extracted feature vectors of different bearing fault classes. A test rig of roller bearing system was performed to illustrate the different bearing faults, including different levels of inner race defect, outer race defect and roller defect. The analysis results demonstrate the capability and effectiveness of the proposed approach for accurately identifying the bearing defects in case of fluctuant rotating speed.