Fault Diagnosis of Induction Motor Based on wavelet packet analysis and negative selection algorithm

摘要：

　　For the spectrum characteristics of the motor vibration,the vibration fault diagnosis method of motor rotor rubbing based on wavelet packet transform and real-valued negative selection algorithm is put forward.Using wavelet packet analysis to energy analysis of rotor rubbing and extracting the fault feature vectors,then by real-valued negative selection algorithm to identify the normal and failure mode eigenvectors.The experimental results show that with this method all the rotor rubbing faults can be detected comprehensive and rapidly.This method has high feasibility of the wavelet packet analysis and real-valued negative selection algorithm in the rotor rubbing fault diagnosis.

关键词： Wavelet packet analysis Negative selection algorithm Fault diagnosis Rotor rubbing

作者: Gui Li Yuan Shi Wei Qin

作者单位: North China Electric Power University,China

会议类型: 国际会议

会议名称: the 2012 International Conference on Manufacturing Engineering and Automation (2012年制造工程与自动化国际会议(ICMEA2012))

会议地点: 广州

会议语种:英文

页码: 1986-1990

在线出版日期: 2012-11-16（万方平台首次上网日期，不代表论文的发表时间）