Review of online fault diagnosis methods for the power transmissions

Yu Sun; Mei Wang; Yehui Xie; Yufei Bao

doi:10.1117/12.2601838

28 October 2021 Review of online fault diagnosis methods for the power transmissions

Yu Sun, Mei Wang, Yehui Xie, Yufei Bao

Proceedings Volume 11884, International Symposium on Artificial Intelligence and Robotics 2021; 1188409 (2021) https://doi.org/10.1117/12.2601838
Event: International Symposium on Artificial Intelligence and Robotics 2021, 2021, Fukuoka, Japan

Abstract

To realize the fault diagnoses as power transmissions, this paper first introduces the online monitoring methods by using sensors. Then, the traveling wave methods and the Wavelet methods for the fault locations of transmission lines are summarized according to the real-time operational data and the environmental variation data. Furthermore, the neural networks and the genetic algorithms for fault recognition are summarized according to the online monitoring data. Finally, this paper discusses the principles, the advantages, and the shortcomings of different methods, which establish the foundations for intelligent diagnosis of power transmissions.

Citation Download Citation

Yu Sun, Mei Wang, Yehui Xie, and Yufei Bao "Review of online fault diagnosis methods for the power transmissions", Proc. SPIE 11884, International Symposium on Artificial Intelligence and Robotics 2021, 1188409 (28 October 2021); https://doi.org/10.1117/12.2601838

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