Title :
Fault type detection using frequency pattern of stator current in IPM-type BLDC motor under stator inter-turn, dynamic eccentricity, and coupled faults
Author :
Jun-Kyu Park ; Il-Man Seo ; Jin Hur
Author_Institution :
Sch. of Electr. Eng., Univ. of Ulsan, Ulsan, South Korea
Abstract :
This paper considered the frequency pattern of the stator input current to detect the fault types for stator inter-turn fault and dynamic eccentricity fault as well as coupled fault of stator inter-turn fault and dynamic eccentricity fault in a permanent magnet brushless DC motor by monitoring the stator current. In the present study, the additional side-band frequencies of the stator current were analyzed to classify the fault types. As a result, each type of the fault appears the different additional frequency patterns. Therefore, we propose the coupled fault modeling method and the fault type detecting algorithm to efficient fault response.
Keywords :
brushless DC motors; fault diagnosis; permanent magnet motors; stators; IPM-type BLDC motor; coupled fault modeling method; dynamic eccentricity fault; fault response; fault type classification; fault type detecting algorithm; frequency pattern; permanent magnet brushless DC motor; side-band frequencies; stator input current; stator inter-turn fault; Air gaps; Circuit faults; Permanent magnet motors; Rotors; Stator windings; Windings;
Conference_Titel :
Energy Conversion Congress and Exposition (ECCE), 2013 IEEE
Conference_Location :
Denver, CO
DOI :
10.1109/ECCE.2013.6647025