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.
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