Feature extraction of HV circuit breaker based on ensemble empirical mode decomposition and correlation dimension

During the operation process of the high voltage circuit breaker, the changes of vibration signals reflect the machinery states of the circuit breaker. The extraction of the vibration signal feature will directly influence the accuracy and practicability of fault diagnosis. This paper presents an extraction method based on ensemble empirical mode decomposition (EEMD) and correlation dimension. Firstly, original vibration signals are decomposed into a finite number of stationary intrinsic mode functions (IMFs). Secondly, calculate the correlation dimension of the top four IMF by the G-P algorithm. At last, calculate the root mean square value of the four correlation dimensions to be as the characteristic of vibration signal for HV circuit breaker. Practical examples show that the characteristics through the extraction approach put forward can represent effectively fault patterns of HV circuit breaker.