Improved wavelet analysis for induction motors mixed-fault diagnosis
Improved wavelet analysis for induction motors mixed-fault diagnosis作者机构:College of Aerospace EngineeringNanjing University of Aeronautics and AstronauticsNanjing 210016China
出 版 物:《Frontiers of Electrical and Electronic Engineering in China》 (中国电气与电子工程前沿(英文版))
年 卷 期:2007年第2卷第3期
页 面:355-360页
学科分类:0808[工学-电气工程] 0809[工学-电子科学与技术(可授工学、理学学位)] 08[工学] 0805[工学-材料科学与工程(可授工学、理学学位)] 0702[理学-物理学]
主 题:induction motor eccentricity rub fault mixed-fault CWT frequency aliasing
摘 要:Eccentricity is one of the frequent faults of induction motors,and it may cause rub between the rotor and the *** detection of significant rub from pure eccentricity can prolong the lifespan of induction *** paper is devoted to such mixed-fault diagnosis:eccentricity plus rub *** continuous wavelet transform(CWT)is employed to analyze vibration signals obtained from the motor *** improved continuous wavelet transform was proposed to alleviate the frequency *** results show that the proposed method can effectively distinguish two types of faults,single-fault of eccentricity and mixed-fault of eccentricity plus rub.