Gearbox Fault Diagnosis Based on Resonance-Based Sparse Signal Decomposition and Information Entropy

摘要

This paper aims to address coupling faults diagnosis issue of the gearbox system. When coupling faults occur in the gearbox system, it will present the coupling and non-stationary complex characteristics. This paper proposes a new fault diagnosis method based on the resonance-based sparse signal decomposition (RB-SSD) and permutation entropy(PE). In this method, RB-SSD method is first used to decompose the processed signal into nonlinear independent components according to its different oscillating behaviors. Thus, the optimal signal sparse representation is formed with the high- and low-resonance components. Then the permutation entropy is applied to analyze quantitatively the low-resonance components. The real measured vibration data of those coupling faults signals is analyzed by this method and the results demonstrate that the proposed method can identify the coupling fault features more accurately than simply using the method of the permutation entropy.