In order to accurately extract the characteristic frequency of the vibration signal of the transformer core, a fault diagnosis method based on variational mode decomposition (VMD) and sparse decomposition is proposed for the non-linear, non-stationary and low signal-to-noise ratio of the vibration signal of transformer core. The fundamental frequency (100 Hz) and some frequency doubling component are included in the vibration signal of the transformer core. After the failure of the transformer core, the characteristic frequency in the vibration signal of the core also changes. Firstly, the signal is sparsely decomposed and denoised, and the noise-reduced signal is subjected to VMD decomposition. Then, the characteristic components are selected from the decomposed components for spectrum analysis. Finally, the state of the core is detected.


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    Title :

    Research on Transformer Core Loosening Fault Diagnosis Based on VMD


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Jia, Limin (editor) / Qin, Yong (editor) / Liu, Baoming (editor) / Liu, Zhigang (editor) / Diao, Lijun (editor) / An, Min (editor) / Liu, Yuzhi (author) / Zhai, Kuankuan (author) / Kang, Xiaorui (author) / Guo, Wei (author)

    Conference:

    International Conference on Electrical and Information Technologies for Rail Transportation ; 2019 ; Qingdao, China October 25, 2019 - October 27, 2019



    Publication date :

    2020-04-08


    Size :

    12 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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