DocumentCode
1753777
Title
The Rotor Fault Diagnosis Method of the Induction Motor Based on the D-S Evidential Theory
Author
Bu LePing ; Liu Kai Pei ; Hou Xinguo
Author_Institution
Sch. of Electr. Eng., Wuhan Univ., Wuhan, China
fYear
2011
fDate
25-28 March 2011
Firstpage
1
Lastpage
4
Abstract
A method based on the D-S (Dempster-Shafer) evidential theory is presented and applied to diagnose the broken rotor bars of induction motors. Wavelet packets decomposition of the three-phase stator current is performed based on the frequency partition characteristics of the wavelet packets transformation; The faults characteristic vector (evidence) of the broken rotor bars is established by the RMS (Root Mean Square value) value of the wavelet nodes coefficient; Minkowaki distance measurement is used to construct basic reliability distribution function and to obtain its value which is is evidence as a result of the rotor faults. With the fused processing according to the D-S evidential fusion algorithm, the broken rotor bar faults of the motor is accurately identified. The experimental results demonstrated that reliable diagnosis of the broken rotor bars can be achieved by the proposed method.
Keywords
fault diagnosis; induction motors; rotors; wavelet transforms; D-S evidential theory; Dempster-Shafer evidential theory; Minkowaki distance measurement; broken rotor bar faults; frequency partition characteristics; induction motor; reliability distribution function; root mean square value; rotor fault diagnosis method; three-phase stator current; wavelet nodes coefficient; wavelet packets decomposition; Bars; Induction motors; Reliability; Rotors; Stators; Wavelet packets;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
Conference_Location
Wuhan
ISSN
2157-4839
Print_ISBN
978-1-4244-6253-7
Type
conf
DOI
10.1109/APPEEC.2011.5748619
Filename
5748619
Link To Document