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Volumn , Issue , 2007, Pages 217-221

Artificial immune based support vector machine algorithm for fault diagnosis of induction motors

Author keywords

Artificial immune system; Fault detection and diagnosis; Induction motors; Stator and broken rotor bar faults; Support vector machines; Time series analysis

Indexed keywords

AC MOTORS; ADAPTIVE CONTROL SYSTEMS; BOOLEAN FUNCTIONS; CLASSIFICATION (OF INFORMATION); COMPUTER NETWORKS; CONDITION MONITORING; ELECTRIC FAULT LOCATION; GEARS; IMAGE RETRIEVAL; IMMUNOLOGY; LEARNING SYSTEMS; MOTORS; MULTILAYER NEURAL NETWORKS; PARAMETER ESTIMATION; PHASE SPACE METHODS; POWER ELECTRONICS; SOFT COMPUTING; STATORS; SUPPORT VECTOR MACHINES; TIME SERIES ANALYSIS; VECTORS; WELDS;

EID: 51249106897     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACEMP.2007.4510505     Document Type: Conference Paper
Times cited : (41)

References (13)
  • 1
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    • Multiple Discriminant Analysis and Neural Network-Based Monolith and Partition FaultDetection Schemes for Broken Rotor Bar in Induction Motors
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    • (2006) IEEE Transactions on Industrial Electronic , vol.53 , Issue.4 , pp. 1298-1308
    • Ayhan, B.1    Chow, M.Y.2    Song, M.H.3
  • 2
    • 0035148993 scopus 로고    scopus 로고
    • Pattern Recognition- A Technique for Broken Rotor Fault Detection 'Eccentricity and Broken Bar Fault
    • M. Haji, H. A. Toliyat, "Pattern Recognition- A Technique for Broken Rotor Fault Detection 'Eccentricity and Broken Bar Fault", IEEE Thirty-Six Industry Applications Conference, Vol. 3, pp. 1572-1578, 2001.
    • (2001) IEEE Thirty-Six Industry Applications Conference , vol.3 , pp. 1572-1578
    • Haji, M.1    Toliyat, H.A.2
  • 3
    • 0038042290 scopus 로고    scopus 로고
    • What Stator Current Processing-based Technique to Use for Induction Motor Rotor Faults Diagnosis?
    • June
    • M. E. H. Benbouzid and G.B. Kliman, "What Stator Current Processing-based Technique to Use for Induction Motor Rotor Faults Diagnosis?", IEEE Transactions on Energy Conversion, Vol. 18, Issue. 2, pp. 238-244, June 2003.
    • (2003) IEEE Transactions on Energy Conversion , vol.18 , Issue.2 , pp. 238-244
    • Benbouzid, M.E.H.1    Kliman, G.B.2
  • 4
    • 0034295565 scopus 로고    scopus 로고
    • Recent Developments of Induction Motor Drives Fault Diagnosis Using AI Techniques
    • October
    • F. Filippetti, G. Franceschini, C. Tassoni, and P. Vas, "Recent Developments of Induction Motor Drives Fault Diagnosis Using AI Techniques", IEEE Transaction on Industrial Electronics, Vol. 47, No.5, pp. 994-1004, October 2000.
    • (2000) IEEE Transaction on Industrial Electronics , vol.47 , Issue.5 , pp. 994-1004
    • Filippetti, F.1    Franceschini, G.2    Tassoni, C.3    Vas, P.4
  • 5
    • 33746338247 scopus 로고    scopus 로고
    • A Method to Detect Broken Rotor Bars in Induction Machine Using Pattern Recognition Techniques
    • July/Augst
    • O. Ondel, E. Boutleux and G. Clerc, "A Method to Detect Broken Rotor Bars in Induction Machine Using Pattern Recognition Techniques", IEEE Transactions on Industry Applications, Vol. 42, No. 4, pp. 916-923, July/Augst 2006.
    • (2006) IEEE Transactions on Industry Applications , vol.42 , Issue.4 , pp. 916-923
    • Ondel, O.1    Boutleux, E.2    Clerc, G.3
  • 6
    • 0347526092 scopus 로고    scopus 로고
    • B. Samanta, K. R. Al-Balushi and S. A. Al-Araimi, Artificial Neural Networks and Support Vector Machines with Genetic Algorithm for Bearing Fault Detection, Engineering Applications of Artificial Intelligence, 16, Issues 7-8, pp. 657-665, October-December 2003.
    • B. Samanta, K. R. Al-Balushi and S. A. Al-Araimi, "Artificial Neural Networks and Support Vector Machines with Genetic Algorithm for Bearing Fault Detection", Engineering Applications of Artificial Intelligence, Vol. 16, Issues 7-8, pp. 657-665, October-December 2003.
  • 8
    • 35048824762 scopus 로고    scopus 로고
    • Induction Motor Fault Diagnostic and Monitoring Methods
    • M.S. Thesis, Marquette University, Milwaukee, WI
    • Aderiano M. da Silva, "Induction Motor Fault Diagnostic and Monitoring Methods", M.S. Thesis, Marquette University, Milwaukee, WI, 2006.
    • (2006)
    • Aderiano, M.1    da Silva2
  • 11
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    • A Fuzzy-Set-Based Reconstructed Phase Space Method for Identification of Temporal Patterns in Complex Time Series
    • May
    • X. Feng, H. Huang, "A Fuzzy-Set-Based Reconstructed Phase Space Method for Identification of Temporal Patterns in Complex Time Series", IEEE Transactions on Knowledge and Data Engineering, Vol. 17, No. 5, pp. 601-613, May 2005.
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , Issue.5 , pp. 601-613
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.