메뉴 건너뛰기




Volumn 2, Issue 2, 2008, Pages 273-288

Development of an Intelligent Diagnostic System for Induction Machine Health Monitoring

Author keywords

Artificial neural network (ANN); condition monitoring; diagnosis; fault; fuzzy logic; induction machine; signal processing; vibration; wavelet transform

Indexed keywords

CONDITION MONITORING; HEALTH; IMAGE CLASSIFICATION; INTELLIGENT SYSTEMS; STRUCTURES (BUILT OBJECTS);

EID: 47049106337     PISSN: 19328184     EISSN: 19379234     Source Type: Journal    
DOI: 10.1109/JSYST.2008.924129     Document Type: Article
Times cited : (21)

References (23)
  • 1
    • 0037290765 scopus 로고    scopus 로고
    • Induction machine drive condition monitoring and diagnostic research—A survey
    • Feb.
    • G. K. Singh and A. S. A. K. Sa’ad, “Induction machine drive condition monitoring and diagnostic research—A survey,” Int. J. Electric Power Syst. Res., vol. 64, no. 2, pp. 145–158, Feb. 2003.
    • (2003) Int. J. Electric Power Syst. Res. , vol.64 , Issue.2 , pp. 145-158
    • Singh, G.K.1    Sa’ad, A.S.A.K.2
  • 2
    • 0027585736 scopus 로고
    • Monitoring and diagnosis of rolling element bearing using artificial neural network
    • Apr.
    • I. E. Alguindigue, A. Loskiewicz-Buczak, and R. E. Uhrig, “Monitoring and diagnosis of rolling element bearing using artificial neural network,” IEEE Trans. Ind. Electron., vol. 40, no. 2, pp. 209–217, Apr. 1993.
    • (1993) IEEE Trans. Ind. Electron. , vol.40 , Issue.2 , pp. 209-217
    • Alguindigue, I.E.1    Loskiewicz-Buczak, A.2    Uhrig, R.E.3
  • 4
    • 0023383348 scopus 로고
    • Artificial intelligence for online diagnosis
    • Jul.
    • R. Milne, “Artificial intelligence for online diagnosis,” Proc. Inst. Elect. Eng. Pt. D, vol. 134, no. 4, pp. 238–243, Jul. 1987.
    • (1987) Proc. Inst. Elect. Eng. Pt. D , vol.134 , Issue.4 , pp. 238-243
    • Milne, R.1
  • 5
    • 0031233479 scopus 로고    scopus 로고
    • Artificial neural network based fault diagnostic of rotating machinery using wavelet transform as processor
    • Sep.
    • B. A. Paya, I. I. Esat, and M. N. M. Badi, “Artificial neural network based fault diagnostic of rotating machinery using wavelet transform as processor,” Mechan. Syst. Signal Process., vol. 11, no. 5, pp. 751–756, Sep. 1997.
    • (1997) Mechan. Syst. Signal Process. , vol.11 , Issue.5 , pp. 751-756
    • Paya, B.A.1    Esat, I.I.2    Badi, M.N.M.3
  • 6
    • 0003413187 scopus 로고
    • Neural Network: A Comprehensive Foundation
    • Englewood Cliffs, NJ: Prentice-Hall
    • S. Haykin, Neural Network: A Comprehensive Foundation. Englewood Cliffs, NJ: Prentice-Hall, 1994.
    • (1994)
    • Haykin, S.1
  • 7
    • 44949269074 scopus 로고
    • Expert system for vibration control of hydroelectric generator
    • Dec.
    • L. A. Biber, Y. Y. Lubarskii, V. M. Nadtochii, and A. S. Tseitlin, “Expert system for vibration control of hydroelectric generator,” Electric Technol., vol. 4, no. 3, pp. 45–52, Dec. 1990.
    • (1990) Electric Technol. , vol.4 , Issue.3 , pp. 45-52
    • Biber, L.A.1    Lubarskii, Y.Y.2    Nadtochii, V.M.3    Tseitlin, A.S.4
  • 8
    • 0012025258 scopus 로고
    • Diagnosing turbogenerator faults with a rule-based expert system
    • Nov./Dec.
    • B. Chakrabarti, K. N. Gupta, and G. S. Yadava, “Diagnosing turbogenerator faults with a rule-based expert system,” in Proc. Maintenance J., Conf. Commun., Nov./Dec. 1995, vol. 10, no. 5, pp. 12–18.
    • (1995) Proc. Maintenance J., Conf. Commun. , vol.10 , Issue.5 , pp. 12-18
    • Chakrabarti, B.1    Gupta, K.N.2    Yadava, G.S.3
  • 10
    • 0026221482 scopus 로고
    • Methodology for on-line incipient fault detection in single-phase squirrel cage induction motors using artificial neural networks
    • Sep.
    • M. Y. Chow and S. O. Yee, “Methodology for on-line incipient fault detection in single-phase squirrel cage induction motors using artificial neural networks,” IEEE Trans. Energy Conv., vol. 6, no. 3, pp. 536–545, Sep. 1991.
    • (1991) IEEE Trans. Energy Conv. , vol.6 , Issue.3 , pp. 536-545
    • Chow, M.Y.1    Yee, S.O.2
  • 11
    • 0026408499 scopus 로고
    • A neural network approach to real-time condition monitoring of induction motors
    • Dec.
    • M. Y. Chow, P. M. Mangum, and S. O. Yee, “A neural network approach to real-time condition monitoring of induction motors,” IEEE Trans. Ind. Electron., vol. 38, no. 6, pp. 448–453, Dec. 1991.
    • (1991) IEEE Trans. Ind. Electron. , vol.38 , Issue.6 , pp. 448-453
    • Chow, M.Y.1    Mangum, P.M.2    Yee, S.O.3
  • 12
    • 0028546008 scopus 로고
    • Feasibility of using unsupervised learning, artificial neural networks for the condition monitoring of electrical machines
    • Nov.
    • J. Penman and C. M. Yin, “Feasibility of using unsupervised learning, artificial neural networks for the condition monitoring of electrical machines,” Proc. IEE Electric Power Appl., vol. 141, no. 6, pp. 317–322, Nov. 1994.
    • (1994) Proc. IEE Electric Power Appl. , vol.141 , Issue.6 , pp. 317-322
    • Penman, J.1    Yin, C.M.2
  • 13
    • 0032662163 scopus 로고    scopus 로고
    • Induction motor asymmetrical faults detection using advanced signal processing techniques
    • Jun.
    • M. H. El Benbouzid, H. Nejjari, R. Beguenane, and M. Vieira, “Induction motor asymmetrical faults detection using advanced signal processing techniques,” IEEE Trans. Energy Conv., vol. 14, no. 2, pp. 147–152, Jun. 1999.
    • (1999) IEEE Trans. Energy Conv. , vol.14 , Issue.2 , pp. 147-152
    • El Benbouzid, M.H.1    Nejjari, H.2    Beguenane, R.3    Vieira, M.4
  • 14
    • 0033727082 scopus 로고    scopus 로고
    • Monitoring and diagnosis of induction motors electrical faults using a current park's vector pattern learning approach
    • May/Jun.
    • H. Nejjari and M. H. El Benbouzid, “Monitoring and diagnosis of induction motors electrical faults using a current park's vector pattern learning approach,” IEEE Trans. Ind. Appl., vol. 36, no. 3, pp. 730–735, May/Jun. 2000.
    • (2000) IEEE Trans. Ind. Appl. , vol.36 , Issue.3 , pp. 730-735
    • Nejjari, H.1    El Benbouzid, M.H.2
  • 15
    • 0347189465 scopus 로고
    • Neural networks: A conceptual overview
    • Tech. Rep. TRC-89-08, Aug.
    • P. J. W. Melsa, “Neural networks: A conceptual overview,” USA Navy, Tech. Rep. TRC-89-08, Aug. 1989.
    • (1989) USA Navy
    • Melsa, P.J.W.1
  • 16
    • 0003811440 scopus 로고    scopus 로고
    • Neuro-Fuzzy Pattern Recognition: Methods in Soft Computing
    • New York: Wiley
    • S. K. Pal and S. Mitra, Neuro-Fuzzy Pattern Recognition: Methods in Soft Computing. New York: Wiley, 1999.
    • (1999)
    • Pal, S.K.1    Mitra, S.2
  • 17
    • 0038137246 scopus 로고    scopus 로고
    • Experimental investigations on induction machine condition monitoring and fault diagnosis using digital signal processing techniques
    • A. S. A. K. Sa’ad and G. K. Singh, “Experimental investigations on induction machine condition monitoring and fault diagnosis using digital signal processing techniques,” Int. J. Electric Power Syst. Res., vol. 65, no. 3, pp. 197–221, 2003.
    • (2003) Int. J. Electric Power Syst. Res. , vol.65 , Issue.3 , pp. 197-221
    • Sa’ad, A.S.A.K.1    Singh, G.K.2
  • 18
    • 0242658505 scopus 로고    scopus 로고
    • Vibration signal analysis using wavelet transform for isolation and identification of electrical faults in induction machine
    • G. K. Singh and A. S. A. K. Sa’ad, “Vibration signal analysis using wavelet transform for isolation and identification of electrical faults in induction machine,” Int. J. Electric Power Syst. Res., vol. 68, no. 1, pp. 119–136, 2004.
    • (2004) Int. J. Electric Power Syst. Res. , vol.68 , Issue.1 , pp. 119-136
    • Singh, G.K.1    Sa’ad, A.S.A.K.2
  • 19
    • 0027245159 scopus 로고
    • Knowledge-based connectionism for revising domain theories
    • Jan./Feb.
    • L. M. Fu, “Knowledge-based connectionism for revising domain theories,” IEEE Trans. Syst., Man, Cybern., vol. 23, no. 1, pp. 173–182, Jan./Feb. 1993.
    • (1993) IEEE Trans. Syst., Man, Cybern. , vol.23 , Issue.1 , pp. 173-182
    • Fu, L.M.1
  • 20
    • 0033225801 scopus 로고    scopus 로고
    • Knowledge-based neural network for voltage contingency selection and ranking
    • Nov.
    • L. Srivastava, S. N. Singh, and J. D. Sharma, “Knowledge-based neural network for voltage contingency selection and ranking,” IEE Proc. Generation, Transmission, Distrib., vol. 146, no. 6, pp. 649–656, Nov. 1999.
    • (1999) IEE Proc. Generation, Transmission, Distrib. , vol.146 , Issue.6 , pp. 649-656
    • Srivastava, L.1    Singh, S.N.2    Sharma, J.D.3
  • 21
    • 0022151730 scopus 로고
    • Incorporating fuzzy membership functions into the perception algorithm
    • Nov.
    • J. M. Keller and J. H. Douglas, “Incorporating fuzzy membership functions into the perception algorithm,” IEEE Trans. Pattern Anal. Mach. Intell., vol. PAMI-7, no. 6, pp. 693–699, Nov. 1985.
    • (1985) IEEE Trans. Pattern Anal. Mach. Intell. , vol.PAMI-7 , Issue.6 , pp. 693-699
    • Keller, J.M.1    Douglas, J.H.2
  • 22
    • 0030672453 scopus 로고    scopus 로고
    • Fault diagnosis of power transformers: Application of fuzzy set theory, expert systems and artificial neural networks
    • Jan.
    • W. Xu, D. Wang, Z. Zhou, and H. Chen, “Fault diagnosis of power transformers: Application of fuzzy set theory, expert systems and artificial neural networks,” Proc. IEE Sci. Meas. Technol., vol. 144, no. 1, pp. 39–44, Jan. 1997.
    • (1997) Proc. IEE Sci. Meas. Technol. , vol.144 , Issue.1 , pp. 39-44
    • Xu, W.1    Wang, D.2    Zhou, Z.3    Chen, H.4
  • 23
    • 0033335228 scopus 로고    scopus 로고
    • Inter-turn stator winding fault diagnosis in three-phase induction motors by park's vector approach
    • Sep.
    • A. J. M. Cardoso, S. M. A. Cruz, and D. S. B. Fonseca, “Inter-turn stator winding fault diagnosis in three-phase induction motors by park's vector approach,” IEEE Trans. Energy Conv., vol. 14, no. 3, pp. 595–600, Sep. 1999.
    • (1999) IEEE Trans. Energy Conv. , vol.14 , Issue.3 , pp. 595-600
    • Cardoso, A.J.M.1    Cruz, S.M.A.2    Fonseca, D.S.B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.