The ferro resonance caused by an electromagnetic potential transformer is a frequently occurring internal overvoltage in the power distribution network, and it threatens the safe operation of the network. Fast and accurate detection is the prerequisite for suppression and elimination of ferro resonance. Wavelet transform provides a powerful tool for analysis of nonstationary signals. This paper applies wavelet transform to detect ferro resonance. Analysis results show that it makes extraction of failure information accurate, and fast algorithm makes detection real time.
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