A Composite Fault Diagnosis Method of Induction Motor Based on Blind Signal Processing
When the stator winding fault and the roller bearing fault occur simultaneously, only the simultaneous acquisition of the stator current signal and the vibration signal is effective for the diagnosis of the composite faults because the mechanism of fault is different. A composite fault diagnosis method based on blind Least Mean Square was proposed to extract the fault signal from the low frequency vibration signal of the induction motor. Utilizing this method the fault signal was denoised and the characteristic components for fault detection can be identified effectively. The stator phase short circuit fault and the outer raceway fault were simulated in experiment platform. Experimental results show that the proposed method is effective to extract the fault signal and improve the signal-tonoise ratio, and the composite fault diagnosis by using the vibration signal is feasible.
Blind signal processing induction motor Composite fault stator winding short circuit roller bearing fault
Xiang Dongyang Wu Zhengguo Hu Wen biao Hou Xinguo
Navy University of Engineering Wuhan 430033 China
国际会议
长春
英文
511-514
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）