Rolling Bearing Vibration Signal Analysis Based on Dual-Entropy, Holder Coefficient and Gray Relation Theory

As bearing vibration signal is of nonlinear and nonstationary characteristics, and the condition-indicating information distribution in the vibration signal is complex, a new rolling bearing vibration signal analysis approach based on dual-entropy, holder coefficient and gray relation theory was proposed in this paper. Firstly, a dual-entropy and holder coefficient algorithm was proposed to extract the health status feature vector from the bearing vibration signals, and secondly a gray relation algorithm was used to achieve bearing fault diagnosis intelligently based on the extracted feature vector. The experimental analysis has demonstrated the proposed approach can simply and efficiently recognize various bearing fault types as well as severities with good real-time performance.