DocumentCode
3213567
Title
Enhanced algorithm for motor rotor broken bar detection
Author
Vico, Jakov ; Stankovic, Dragan ; Voloh, Ilia ; Zhang, Zhiying ; Swigost, Daniel
Author_Institution
GE Digital Energy Multilin, Toronto, Canada
fYear
2010
fDate
19-21 April 2010
Firstpage
1
Lastpage
14
Abstract
Motor rotor broken bar is one of the predominant failure modes of squirrel cage induction motors. There are numerous researched methods for identifying rotor bar faults: motor current signature analysis, acoustic noise measurements, vibration monitoring, temperature monitoring, electromagnetic field monitoring, infrared recognition, radio frequency emissions monitoring, etc. The most frequently used method is called the Motor Current Signature Analysis (MCSA). It is based on a signal analysis of the motor current, obtained via a regular current transformer used for motor protection purposes. It is difficult to detect rotor bar failures by looking into the currents waveform-time domain analysis, however impact of rotor broken bars to the stator currents can be determined by analyzing spectrum of frequency distribution in the frequency domain.
fLanguage
English
Publisher
iet
Conference_Titel
Power Electronics, Machines and Drives (PEMD 2010), 5th IET International Conference on
Conference_Location
Brighton, UK
Type
conf
DOI
10.1049/cp.2010.0031
Filename
5523789
Link To Document