Title :
Intelligent fault diagnosis of induction motor with stator winding fault
Author :
Ming Yu; Yigang He; Hai Wang; Juan Xu;Danwei Wang; VietHung Nguyen
Author_Institution :
School of Electrical Engineering and Automation, Hefei University of Technology, China
Abstract :
In this article, a fault diagnosis method is proposed for induction motor which suffers from stator winding shorted turn fault. During fault detection, rms values of the three phase currents are calculated and two currents are subtracted from each other to form the residuals. After the fault is detected through evaluating the developed residuals, a harmony search algorithm is adopted to estimate the fault size, i.e., the fraction of shorted turn and the fault insulation resistance. Simulation experiments are conducted and results validate the developed method.
Keywords :
"Stator windings","Circuit faults","Rotors","Induction motors","Windings","Couplings","Fault diagnosis"
Conference_Titel :
Natural Computation (ICNC), 2015 11th International Conference on
Electronic_ISBN :
2157-9563
DOI :
10.1109/ICNC.2015.7378081