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Volumn , Issue , 2001, Pages 809-813

Neural PCA based fault diagnosis

Author keywords

fault diagnosis; neural network; Principal Component Analysis (PCA)

Indexed keywords

FAILURE ANALYSIS; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS;

EID: 84947448010     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.23919/ecc.2001.7076010     Document Type: Conference Paper
Times cited : (11)

References (11)
  • 4
    • 0032049479 scopus 로고    scopus 로고
    • Joint diagnosis of process and sensor faults using principal component analysis
    • Junio
    • R. Dunia and S. J. Qin. Joint diagnosis of process and sensor faults using principal component analysis. Control Eng. Practice, (1):457-469, Junio 1998.
    • (1998) Control Eng. Practice , Issue.1 , pp. 457-469
    • Dunia, R.1    Qin, S.J.2
  • 5
    • 84947470261 scopus 로고    scopus 로고
    • Métodos de PCA's basados en redes neuronales
    • Universidad de Valladolid
    • B. Grande Garcia. Métodos de PCA's basados en redes neuronales. Technical report, ETSII. Universidad de Valladolid, 1999.
    • (1999) Technical Report, ETSII
    • Grande Garcia, B.1
  • 6
    • 84947445401 scopus 로고    scopus 로고
    • Sistema de diagnóstico de fallos para un sistema hidraulico basado en PCA's
    • E. T. S. I. I. Universidad de Valladolid
    • T. Guijarro Hernández. Sistema de diagnóstico de fallos para un sistema hidraulico basado en PCA's. Technical report, E. T. S. I. I. Universidad de Valladolid, 1999.
    • (1999) Technical Report
    • Guijarro Hernández, T.1
  • 7
    • 0001512734 scopus 로고    scopus 로고
    • Fault isolation by partial PCA and partial NLPCA
    • Beijing, P. R. China, Julio
    • Y. Huang, J. Gertler, and T. J. McAvoy. Fault isolation by partial PCA and partial NLPCA. In 14th World Congress of IFAC, pages 545-550, Beijing, P. R. China, Julio 1999.
    • (1999) 14th World Congress of IFAC , pp. 545-550
    • Huang, Y.1    Gertler, J.2    McAvoy, T.J.3
  • 9
    • 0026113980 scopus 로고
    • Nonlinear principal component analysis using autoassociative neural networks
    • February
    • M. A. Kramer. Nonlinear principal component analysis using autoassociative neural networks. AIChE Journal, 37(2):233-243, February 1991.
    • (1991) AIChE Journal , vol.37 , Issue.2 , pp. 233-243
    • Kramer, M.A.1
  • 10
    • 0029264336 scopus 로고
    • Predictive maintenance using PCA
    • D. R. Lewin. Predictive maintenance using pca. Control Eng. Practice, 3(3):415-421, 1995.
    • (1995) Control Eng. Practice , vol.3 , Issue.3 , pp. 415-421
    • Lewin, D.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.