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Volumn , Issue , 2013, Pages 5561-5566

On-line neural network-based stator fault diagnosis system of the converter-fed induction motor drive

Author keywords

converter supply; fault indicator; induction motor drive; neural detector; stator faults

Indexed keywords

CONVERTER SUPPLY; FAULT INDICATORS; FAULT LOCALIZATION; INDUCTION MOTOR DRIVE; NEURAL NETWORK TRAINING; ON-LINE DIAGNOSIS; STATOR FAULT; STATOR WINDING FAULTS;

EID: 84893597220     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IECON.2013.6700044     Document Type: Conference Paper
Times cited : (21)

References (14)
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    • Tallam, R.M.1    Lee, S.B.2
  • 2
    • 84886817982 scopus 로고    scopus 로고
    • On-line MCSA to diagnose shorted turns in low voltage stator windings of 3-phase induction motors prior to failure
    • Cambridge, USA
    • W.T. Thomson, On-line MCSA to diagnose shorted turns in low voltage stator windings of 3-phase induction motors prior to failure, Proc. of IEEE Int. Electric Machines and Drives, Cambridge, USA, 2001, pp. 891-898.
    • (2001) Proc. of IEEE Int. Electric Machines and Drives , pp. 891-898
    • Thomson, W.T.1
  • 3
    • 0033335228 scopus 로고    scopus 로고
    • Inter-turn stator winding fault diagnosis in three-phase induction motors, by park's vector approach
    • A.J.M. Cardoso, S.M.A. Cruz, D.S.B. Fonseca, "Inter-Turn Stator Winding Fault Diagnosis in Three-phase Induction Motors, by Park's Vector Approach", IEEE Trans. Energy Conversion, vol.14, no.3, pp.595-598, 1999.
    • (1999) IEEE Trans. Energy Conversion , vol.14 , Issue.3 , pp. 595-598
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  • 4
    • 24644483781 scopus 로고    scopus 로고
    • Fault detection and diagnosis in an induction machine drive: A pattern recognition approach based on concordia stator mean current vector
    • D. Diallo, M.E.H. Benbouzid, D. Hamad, X. Pierre, "Fault Detection and Diagnosis in an Induction Machine Drive: A Pattern Recognition Approach Based on Concordia Stator Mean Current Vector", IEEE Trans. Energy Conversion, vol. 20, no. 3, pp. 512-519, 2005.
    • (2005) IEEE Trans. Energy Conversion , vol.20 , Issue.3 , pp. 512-519
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  • 6
    • 57749177424 scopus 로고    scopus 로고
    • A survey on testing and monitoring methods for stator insulation systems of low-voltage induction machines focusing on turn insulation problems
    • S. Grubic, J.M. Aller, Bin Lu, T.G. Habetler, A Survey on Testing and Monitoring Methods for Stator Insulation Systems of Low-Voltage Induction Machines Focusing on Turn Insulation Problems, IEEE Trans. Ind. Electronics vol. 55, no. 12, pp. 4127-4136, 2008.
    • (2008) IEEE Trans. Ind. Electronics 4136 , vol.55 , Issue.12
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  • 9
    • 18844388125 scopus 로고    scopus 로고
    • Modeling and simulation of induction motors for stator faults diagnosis
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    • (2005) Electric Power Systems Research , vol.75 , pp. 57-66
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  • 11
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    • Induction motor stator faults diagnosis by a current concordia pattern-based fuzzy decision system
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    • (2003) IEEE Trans. Energy Conversion , vol.18 , Issue.4 , pp. 469-475
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  • 12
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    • An effective neural approach for the automatic location of stator interturn faults in induction motor
    • M. Bouzid, G. Champenois, N.M. Bellaaj, et al. "An effective neural approach for the automatic location of stator interturn faults in induction motor", IEEE Trans. Ind. Electr., vol.55, no.12, pp.4277-4289, 2008.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.