Comparison of improved EMD entropy and wavelet entropy in vibration signals of circuit breaker
Dan Xu1, Zhan Zhang1, Long Yu2, Yumei Wang1
1School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454000, China
2Henan Province Zhoukou Electric Power Bureau, Zhoukou 466000, China
The paper is focusing on extracting the vibration signals of circuit breakers by using Empirical Mode Decomposition (EMD) that improved using least squares to lower the impact on experiment results effectively, which is caused by the EMD inherent end effects. First, work on the EMD and wavelet transform decomposition of both normal and loosening signals, and then to calculate the energy entropy. The results show that the value of improved EMD energy entropy is significantly larger than the wavelet energy entropy. So the improved EMD energy entropy can improve the accuracy of fault diagnosis and provides useful help for the mechanical fault diagnosis based on circuit breakers vibration signals.