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Volumn ICSO, Issue , 2007, Pages 11-18

DC motor fault diagnosis by means of artificial neural networks

Author keywords

Dc motor; Density shaping; Fault detection; Fault identification; Fault isolation; Modelling; Neural networks

Indexed keywords

ARTIFICIAL NEURAL NETWORK; DENSITY SHAPING; DYNAMIC NEURONS; FAULT IDENTIFICATION; FAULT ISOLATION; LABORATORY SYSTEM; MODEL-BASED FAULT DIAGNOSIS; MODELLING; NEURAL CLASSIFIERS; OPERATING CONDITION; STATISTICAL ANALYSIS;

EID: 67149088463     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (13)
  • 1
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    • Bell, A.J.1    Sejnowski, T.J.2
  • 3
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    • Hierarchical motor diagnosis utilising structural knowledge and a self-learning neuro-fuzzy scheme
    • Fuessel, D. and Isermann, R. (2000). Hierarchical motor diagnosis utilising structural knowledge and a self-learning neuro-fuzzy scheme. IEEE Trans. Industrial Electronics, 47:1070-1077.
    • (2000) IEEE Trans. Industrial Electronics , vol.47 , pp. 1070-1077
    • Fuessel, D.1    Isermann, R.2
  • 5
    • 85003107581 scopus 로고    scopus 로고
    • Korbicz, J., Kościelny, J. M., Kowalczuk, Z., and Cholewa, W., editors Springer-Verlag, Berlin.
    • Korbicz, J., Kościelny, J. M., Kowalczuk, Z., and Cholewa, W., editors (2004). Fault Diagnosis. Models, Artificial Intelligence, Applications. Springer-Verlag, Berlin.
    • (2004) Fault Diagnosis. Models, Artificial Intelligence, Applications.
  • 6
    • 0034297534 scopus 로고    scopus 로고
    • Application of model-based fault detection to a brushless dc motor
    • Moseler, O. and Isermann, R. (2000). Application of model-based fault detection to a brushless dc motor. IEEE Trans. Industrial Electronics, 47:1015-1020.
    • (2000) IEEE Trans. Industrial Electronics , vol.47 , pp. 1015-1020
    • Moseler, O.1    Isermann, R.2
  • 7
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    • Approximation ability of a class of locally recurrent globally feedforward neural networks
    • accepted.
    • Patan, K. (2007). Approximation ability of a class of locally recurrent globally feedforward neural networks. In Proc. European Control Conference, ECC 2007, Kos, Greece, accepted.
    • (2007) Proc. European Control Conference, ECC 2007, Kos, Greece
    • Patan, K.1
  • 8
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    • Identification of neural dynamic models for fault detection and isolation: The case of a real sugar evaporation process
    • Patan, K. and Parisini, T. (2005). Identification of neural dynamic models for fault detection and isolation: the case of a real sugar evaporation process. Journal of Process Control, 15:67-79.
    • (2005) Journal of Process Control , vol.15 , pp. 67-79
    • Patan, K.1    Parisini, T.2
  • 10
    • 0030241786 scopus 로고    scopus 로고
    • Multidimensional density shaping by sigmoids
    • PII S1045922796066210
    • Roth, Z. and Baram, Y. (1996). Multidimensional density shaping by sigmoids. IEEE Trans. Neural Networks, 7(5):1291-1298. (Pubitemid 126776398)
    • (1996) IEEE Transactions on Neural Networks , vol.7 , Issue.5 , pp. 1291-1298
    • Roth, Z.1    Baram, Y.2
  • 12
    • 0034295917 scopus 로고    scopus 로고
    • Fault detection and diagnosis of permanent-magnet dc motor based on parameter estimation and neural network
    • Xiang-Qun, L. and Zhang, H. Y. (2000). Fault detection and diagnosis of permanent-magnet dc motor based on parameter estimation and neural network. IEEE Trans. Industrial Electronics, 47:1021-1030.
    • (2000) IEEE Trans. Industrial Electronics , vol.47 , pp. 1021-1030
    • Xiang-Qun, L.1    Zhang, H.Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.