Title :
Induction motor mixed fault diagnosis based on wavelet analysis of the current space vector
Author :
Tsoumas, I. ; Mitronikas, E. ; Safacas, A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Patras Univ.
Abstract :
Broken bars and eccentricity are common faults in induction motors. These two faults usually occur simultaneously, since most installed induction motors have a small inherent eccentricity. In this paper a detailed investigation of the possibilities for induction motor fault diagnosis based on wavelet analysis of the current space vector is provided. The main objective is to formulate a method for enhanced diagnosis of broken rotor bars in induction motors by applying wavelet analysis to the motor current space vector. To this purpose, a detailed wavelet analysis of stator current space vector is implemented. The analysis is at first performed through simulation of a faulty asynchronous machine in Matlab-Simulink. Subsequent to the simulation results analysis, experimental tests were conducted. Characteristic results are presented and briefly discussed
Keywords :
fault diagnosis; induction motors; machine testing; wavelet transforms; Matlab-Simulink; faulty asynchronous machine; induction motor mixed fault diagnosis; motor current space vector; wavelet analysis; Analytical models; Bars; Computer languages; Fault diagnosis; Functional analysis; Induction motors; Performance analysis; Rotors; Stators; Wavelet analysis;
Conference_Titel :
Electrical Machines and Systems, 2005. ICEMS 2005. Proceedings of the Eighth International Conference on
Conference_Location :
Nanjing
Print_ISBN :
7-5062-7407-8
DOI :
10.1109/ICEMS.2005.202954