Applying empirical mode decomposition (EMD) and entropy to diagnose circuit breaker faults

Abstract In this paper, a new method to extract characteristic parameters from vibration signal of HV (high voltage) CB (circuit breakers) is proposed based on the empirical mode decomposition (EMD)-entropy. First, the normal signal and several fault signals are decomposed with empirical mode, and then extraction and selection the IMF function. Second, calculating the signal envelope after selection in IMF using Hilbert method. Finally, on each envelope signals using time integral of entropy, acquiring the EMD-characteristic entropy vector. The fault signal characteristic entropy vector and normal signal's comparison determine fault types. In practice, this method is very convenient, and can be applied directly to diagnose the fault signals and its species.