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Volumn 15, Issue 1, 2000, Pages 66-70

Detection of broken bars in induction motors using an extended Kalman filter for rotor resistance sensorless estimation

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; KALMAN FILTERING; MATRIX ALGEBRA; ROTORS (WINDINGS);

EID: 0034156449     PISSN: 08858969     EISSN: None     Source Type: Journal    
DOI: 10.1109/60.849118     Document Type: Article
Times cited : (87)

References (14)
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    • Cause and analysis of stator and rotor failures in three-phase squirrel-cage induction motors
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    • (1992) IEEE Trans. Industry Applications , vol.28 , Issue.4 , pp. 921-937
    • Bornnett, A.M.1    Soukup, G.C.2
  • 5
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    • Kliman, G.B.1    Stein, J.2
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    • IEEE Trans. Energy Conversion
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  • 8
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    • M. E. H. Benbouzid, M. Vieira, and C. Theys, "Induction motors faults detection and localization using stator current advanced signal processing techniques," IEEE Trans. Power Electronics, vol. 14, no. 1, pp. 14-22, Jan. 1999.
    • (1999) IEEE Trans. Power Electronics , vol.14 , Issue.1 , pp. 14-22
    • Benbouzid, M.E.H.1    Vieira, M.2    Theys, C.3
  • 9
    • 0026866496 scopus 로고
    • Detection of broken rotor bars in induction motors using state and parameter estimation
    • May/June
    • K. R. Cho, J. H. Lang, and S. D. Umans, "Detection of broken rotor bars in induction motors using state and parameter estimation," IEEE Trans. Industry Applications, vol. 28, no. 3, pp. 702-709, May/June 1992.
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  • 10
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    • An effective method for rotor resistance identification for high-performance induction motor vector control
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  • 12
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  • 13
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  • 14
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.