DocumentCode
1976181
Title
Rotor broken-bar fault detection using a combined method of MUSIC and orthogonal projection
Author
Wang, Xiangjun ; Fang, Fang
Author_Institution
Coll. of Electr. & Informational Eng., Naval Univ. of Eng., Wuhan, China
fYear
2011
fDate
16-18 Sept. 2011
Firstpage
1254
Lastpage
1257
Abstract
It is difficult to detect the rotor broken-bar fault feature frequency components as they always hide behind the strong supply frequency component and noise in the spectrum of the stator current when the induction motor is in steady running state. A new combined detection method of multiple signal classification (MUSIC) and orthogonal projection is presented in this paper. At first, the strong supply frequency component in the stator current is filtered out but the other harmonics retained by orthogonal projection. Then MUSIC is employed to analyze the filtered signal. Without the influence of the supply frequency component, the fault feature frequency components are easy to be found in the spectrum. The results of simulation and experiment show that the proposed method is feasible and effective.
Keywords
fault diagnosis; filtering theory; induction motors; power engineering computing; rotors; signal classification; MUSIC; fault feature frequency components; filtered signal; multiple signal classification; orthogonal projection; rotor broken-bar fault detection; supply frequency component; three-phase induction motors; Eigenvalues and eigenfunctions; Harmonic analysis; Induction motors; Multiple signal classification; Power harmonic filters; Rotors; Stators; MUSIC; fault detection; induction motor; orthogonal projection; rotor broken-bar;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location
Yichang
Print_ISBN
978-1-4244-8162-0
Type
conf
DOI
10.1109/ICECENG.2011.6057204
Filename
6057204
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