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Fault Diagnosis of Hydraulic Generator Bearing by VMD-Based Feature Extraction and Classification

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Iranian Journal of Science and Technology, Transactions of Electrical Engineering Aims and scope Submit manuscript

Abstract

The vibration signal of hydraulic generator is non-stationary. Features of the early fault signal are weak and thus are difficult to be extracted. In this paper, features of the bearing vibration signal for fault diagnosis are extracted by using the variational mode decomposition (VMD) and singular value. Fault diagnosis is carried out by using the support vector machine (SVM). Firstly, several intrinsic mode functions (IMFs) are obtained by performing VMD on the bearing vibration signal. Then, singular values of the modal component matrix constituted by the intrinsic mode functions are calculated, which are regarded as the feature vector input to the support vector machine. Finally the fault classification and recognition are done by the support vector machine. The proposed method is verified by analyzing the rolling bearing experimental data. The vibration data of the near Wake Island Hydropower Station in Hunan province are used to test the accuracy of the proposed method in practical application.

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Acknowledgements

This work was partially supported in part by the National Natural Science Foundation of China under Grant 61771190, in part by the Natural Science Foundation of Hunan Province under Grant 2019JJ20001.

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Authors and Affiliations

  1. College of Electrical and Information Engineering, Hunan University, Changsha, 410082, China

    Xuanrong Tang & He Wen

  2. State Power Investment Corporation Wuling Power Co., Ltd., Changsha, China

    Bian Hu

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  1. Xuanrong Tang
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  2. Bian Hu
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  3. He Wen
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Correspondence to He Wen.

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Tang, X., Hu, B. & Wen, H. Fault Diagnosis of Hydraulic Generator Bearing by VMD-Based Feature Extraction and Classification. Iran J Sci Technol Trans Electr Eng 45, 1227–1237 (2021). https://doi.org/10.1007/s40998-021-00421-0

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  • DOI: https://doi.org/10.1007/s40998-021-00421-0

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