Fault diagnosis algorithm of fiber current transformer based on Wavelet-Allan variance

Chen Liu; Ding Wang; Junjie Jin; Dexin Li; Dafei Yu; Kuo Su

doi:10.1117/12.2540687

18 December 2019 Fault diagnosis algorithm of fiber current transformer based on Wavelet-Allan variance

Chen Liu, Ding Wang, Junjie Jin, Dexin Li, Dafei Yu, Kuo Su

Proceedings Volume 11340, AOPC 2019: Optical Fiber Sensors and Communication; 113400B (2019) https://doi.org/10.1117/12.2540687
Event: Applied Optics and Photonics China (AOPC2019), 2019, Beijing, China

Abstract

The fiber optic current transformer (FOCT) is affected by complex environment in actual operation which will lead performance deteriorate or even malfunction. This paper introduces the application status and common fault modes of FOCT, and a fault diagnosis algorithm of FOCT based on Wavelet-Allan variance is presented. Wavelet transform is used to identify the jump signal for the mutation fault diagnosis, and Allan variance analysis is used to analyze the noise distribution for the gradual fault diagnosis. By combining the two methods above, the condition monitoring and fault diagnosis of FOCT can be realized without changing the structure of the original transformer or adding additional detection equipment. This method is proved to be effective and accurate by diagnosing faults from FOCTs in substation.

Citation Download Citation

Chen Liu, Ding Wang, Junjie Jin, Dexin Li, Dafei Yu, and Kuo Su "Fault diagnosis algorithm of fiber current transformer based on Wavelet-Allan variance", Proc. SPIE 11340, AOPC 2019: Optical Fiber Sensors and Communication, 113400B (18 December 2019); https://doi.org/10.1117/12.2540687

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