This paper proposes an approach to identify short-time power quality disturbances based on improved wavelet energy entropy and support vector machine(SVM).

A novel method,which bases on the wavelet energy entropy to identify fault types for the adaptive three-phase reclosure on transmission lines,was proposed.

According to those principles,the concept of wavelet energy cross-entropy is proposed .

Applying wavelet packet energy entropy and neural networks to diagnose circuit breaker faults;