DocumentCode
230957
Title
Diagnosis of inter-turn short-circuit stator winding fault in PMSM based on stator current and noise
Author
Yongchun Liang
Author_Institution
Dept. of Electr. Eng., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
fYear
2014
fDate
Feb. 26 2014-March 1 2014
Firstpage
138
Lastpage
142
Abstract
In this paper, the method of stator current and noise combination is introduced for inter-turn short-circuit fault recognition in permanent magnet synchronouse motor. The detection and diagnosis system consists of sensors, USB5935 data acquisiton card USB5935 and a computer with LabVIEW installed. The frequency pattern of stator current is extracted from the monitored stator current and the amplitude of increase is obtained. The frequency pattern of noise is extracted from the monitored noise and the main fault frequency is found. The frequency pattern of stator current and the amplitude of increase are introduced as a main criterion to diagnose the inter-turn short-circuit fault. The frequency pattern of noise is introduced as a secondary criterion. The experiment shows that the combination of the stator current and noise is helpful to diagnose the small inter-turn short-circuit fault of permanent magnet synchronouse motor.
Keywords
digital signal processing chips; electric sensing devices; fault diagnosis; permanent magnet motors; power engineering computing; short-circuit currents; stators; synchronous motors; virtual instrumentation; LabVIEW; PMSM; USB5935 data acquisiton card; detection system; diagnosis system; frequency pattern; interturn short-circuit fault recognition; interturn short-circuit stator winding fault; permanent magnet synchronous motor; stator current; stator noise; Circuit faults; Computers; Noise; Permanent magnet motors; Stator windings; Synchronous motors; Detection; Noise; PMSM; Short-circuit Fault; Stator Current;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Technology (ICIT), 2014 IEEE International Conference on
Conference_Location
Busan
Type
conf
DOI
10.1109/ICIT.2014.6894927
Filename
6894927
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