Acoustic Emission Signal Feature Extraction of Inter-shaft Bearing Based on Quantum Entropy

Abstract

For In order to solve the problems of weak signal characteristics and extraction difficulty during early fault stage of inter-shaft bearing, this paper introduces quantum theory into the calculation of information entropy, and proposes a new fault feature extraction method of inter-shaft bearings, quantum entropy. Firstly, based on the basic principle of quantum theory, the multi-qubit system of acoustic emission signal is established, and the calculation method of quantum entropy is constructed. Then, the four different working conditions of acoustic emission signal, i.e. outer ring fault, rolling element fault, inner ring fault and trouble-free, are simulated by the fault simulation test bench of inter-shaft bearing, and the acoustic emission signal is collected. After discussing the influence of different key parameters on quantum entropy, the quantum entropy of acoustic emission signals of inter-shaft bearings in four states is calculated, and the calculation results are analyzed. The experimental data analysis shows that the quantum entropy proposed in this paper can effectively extract the running state characteristics of the inter-shaft bearing and determine the fault types.