Based On Intrinsic Mode Function Energy Tracking Method of Circuit Breaker Vibration Signal Feature Extraction Studies

Yi-Hang Sun,L Long,Y Li,H Yang,X Li,Y Dai

doi:10.1051/itmconf/20171203023

Abstract

In order to detect a mechanical type of structural failure of the circuit breaker, the characteristics of the circuit breaker mechanical vibration signal is analyzed in this paper. A combination of medium voltage circuit breaker based on empirical mode decomposition (EMD) amount of energy and support vector machine (SVM) theory vibration signal feature vector extraction and analysis of fault classification method is proposed. First, the vibration signal of the circuit breaker is decomposed by EMD, then intrinsic mode function (IMF) is obtain. The major fault feature information intrinsic mode functions the amount of energy of the component is obtained by discrete sampling points and the amount of energy. Using the amount of energy of IMF component as a feature vector, the failure of the test sample signal as input feature vector into trained “BT-SVM” support vector machine classification mechanism for fault classification. The differences and fault type of vibration signals can be identified by this method through the experimental analysis.

Highlights

A circuit breaker is very critical distribution systems important equipment
Short-time Fourier transform methods have their limitations, it can not be good for non-stationary signal analysis, so this article will empirical mode decomposition (EMD) method is applied to the circuit breaker vibration signal feature vector extraction field, it is a new suitable for analyzing non-stationary signal analysis methods
Components, the intrinsic mode function (IMF) component from high frequency components contained in the end, the circuit breaker failure occurs division closing different mechanical vibration signal generated by the energy value of IMF there are obvious differences

Summary

Introduction

A circuit breaker is very critical distribution systems important equipment. With the distribution network automation and reliability requirements increase, the circuit breaker itself is increasing reliability requirements [1,2,3]. In the operation process of the circuit breaker contains a lot of important status information when a fault message appears fault signal when the feature vector extraction is critical fault signal analysis in the current analysis method is only suitable for the fast Fourier transform analysis of stationary signals, while the mechanical vibration signal is non-stationary nature, must be found suitable for the analysis of non-stationary signal processing method. Short-time Fourier transform methods have their limitations, it can not be good for non-stationary signal analysis, so this article will EMD method is applied to the circuit breaker vibration signal feature vector extraction field, it is a new suitable for analyzing non-stationary signal analysis methods. By analyzing the local signal characteristics including IMF to accurately extract the important features of the original signal, each IMF frequency components contained in the signal sampling frequency is not correlated with the signal itself, it is adaptive [8,9]

Vibration Signal EMD

The Amount of Energy Law

Analysis of Experimental Results

SVM Fault Status Classification

Conclusion