Detection of IM broken rotor bars using MUSIC pseudo-spectrum and pattern recognition

IECON Proceedings (Industrial Electronics Conference)

Volumn 3, Issue , 2003, Pages 2829-2834

  Cupertino, Francesco ^a   De Vanna, Elisabetta ^a   Forcella, Giovanni ^a   Salvatore, Luigi ^a   Stasi, Silvio ^a  

^a POLITECNICO DI BARI   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); ELECTRIC POWER SUPPLIES TO APPARATUS; ELECTRIC WINDINGS; FAILURE ANALYSIS; FAST FOURIER TRANSFORMS; NEURAL NETWORKS; PATTERN RECOGNITION; SPECTRUM ANALYSIS; SQUIRREL CAGE MOTORS; STATORS; VOLTAGE MEASUREMENT;

KOHONEN NEURAL NETWORK; MAGNETO-MOTIVE FORCES;

ROTORS;

EID: 1442284538     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

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5. M. Haji, and H.A. Toliyat, "Pattern Recognition - A Technique for Induction Machines Rotor Broken Bar Detection", IEEE Transactions on Energy Conversion, vol. 16, no. 4, pp.312-317, 2001.
6. J. Milimonfared, H.M. Kelk, S. Nandi, A. Der Minassians, and H.A. Toliyat, "A Novel Approach for Broken-Rotor-Bar Detection in Cage Induction Motors", IEEE Trans. Ind. Applications, vol.35, n.5, pp1000-1006, 1999.
7. S. Vaseghi, "Advanced Signal Processing and Noise Reduction", John Wiley & Sons ldt, 2000.
8. T. Kohonen, "Self-Organizing Maps", Springer-Verlag 2001.