Abstract:A method for rub-impact diagnosis of rotors based on resonance-based sparse signal decomposition and reassigned wavelet scalogram was proposed in this paper. Differ form the tradition signal decomposition method based on frequency band,resonance-based sparse signal decomposition method decomposed a signal into high resonance component and low resonance component according to the Q-factor. When the rub-impact occurred in a rotor system,the vibration signal was composed of periodic signal mainly consisted of rotor frequency component and its harmonics,transient impulse signal with rotor fault information and noise. Periodic signal belongs to narrow band signal and had a high Q-factor,and could be decomposed into high resonance component;while transient impulse signal belongs to wideband signal and had a low Q-factor,and could be decomposed into low resonance component. In the proposed method,impulses,which were drawn from rub-impact signal of a rotor by using resonance-based sparse signal decomposition,were analyzed by reassigned wavelet scalogram and the fault diagnosis of rub-impact in a rotor system was carried out according to the impulse period in the scalogram. Simulation and application example show that the proposed method was effective in diagnosing rub-impact fault of rotor systems.
陈向民;于德介;李蓉. 基于信号共振稀疏分解与重分配小波尺度谱的转子碰摩故障诊断方法[J]. , 2013, 32(13): 27-33.
CHEN Xiangmin YU Dejie LI Rong. Rub-impact Diagnosis of Rotors by Using Resonance-based Sparse Signal Decomposition and Reassigned Wavelet Scalogram. , 2013, 32(13): 27-33.