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Proceedings Paper

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

Paper Details

Date Published: 18 December 2019
PDF: 7 pages
Proc. SPIE 11340, AOPC 2019: Optical Fiber Sensors and Communication, 113400B (18 December 2019); doi: 10.1117/12.2540687
Show Author Affiliations
Chen Liu, State Grid Jilin Electric Power (China)
Ding Wang, State Grid Jilin Electric Power (China)
Junjie Jin, Beijing Aerospace Times Optoelectronics Technology Co., Ltd. (China)
Dexin Li, State Grid Jilin Electric Power (China)
Dafei Yu, State Grid Jilin Electric Power (China)
Kuo Su, State Grid Jilin Electric Power (China)

Published in SPIE Proceedings Vol. 11340:
AOPC 2019: Optical Fiber Sensors and Communication
Jie Zhang; Songnian Fu; Jun Yang, Editor(s)

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