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Volumn 25, Issue 1, 2014, Pages 124-136

Learning in the model space for cognitive fault diagnosis

Author keywords

Cognitive fault diagnosis; fault detection; learning in the model space; one class learning; reservoir computing (RC)

Indexed keywords

BENCHMARK APPLICATIONS; COMPLEX ENGINEERING SYSTEM; LEARNING TECHNIQUES; MODEL SPACES; MONITOR AND CONTROL; ONE-CLASS LEARNING; RESERVOIR COMPUTING; WATER DISTRIBUTION NETWORKS;

EID: 84891147585     PISSN: 2162237X     EISSN: 21622388     Source Type: Journal    
DOI: 10.1109/TNNLS.2013.2256797     Document Type: Article
Times cited : (120)

References (35)
  • 3
    • 0036530317 scopus 로고    scopus 로고
    • A robust detection and isolation scheme for abrupt and incipient faults in nonlinear systems
    • DOI 10.1109/9.995036, PII S0018928602037376
    • X. Zhang, M. Polycarpou, and T. Parisini, "A robust detection and isolation scheme for abrupt and incipient faults in nonlinear systems," IEEE Trans. Autom. Control, vol. 47, no. 4, pp. 576-593, Apr. 2002 (Pubitemid 34554827)
    • (2002) IEEE Transactions on Automatic Control , vol.47 , Issue.4 , pp. 576-593
    • Zhang, X.1    Polycarpou, M.M.2    Parisini, T.3
  • 4
    • 16244378941 scopus 로고    scopus 로고
    • Sensor bias fault isolation in a class of nonlinear systems
    • DOI 10.1109/TAC.2005.843875
    • X. Zhang, T. Parisini, and M. Polycarpou, "Sensor bias fault isolation in a class of nonlinear systems," IEEE Trans. Autom. Control, vol. 50, no. 3, pp. 370-376, Mar. 2005 (Pubitemid 40448587)
    • (2005) IEEE Transactions on Automatic Control , vol.50 , Issue.3 , pp. 370-376
    • Zhang, X.1    Parisini, T.2    Polycarpou, M.M.3
  • 5
    • 34547571464 scopus 로고    scopus 로고
    • Nonlinear robust fault reconstruction and estimation using a sliding mode observer
    • DOI 10.1016/j.automatica.2007.02.008, PII S0005109807001719
    • X. Yan and C. Edwards, "Nonlinear robust fault reconstruction and estimation using a sliding mode observer," Automatica, vol. 43, no. 9, pp. 1605-1614, Sep. 2007 (Pubitemid 47198213)
    • (2007) Automatica , vol.43 , Issue.9 , pp. 1605-1614
    • Yan, X.-G.1    Edwards, C.2
  • 6
    • 68649088777 scopus 로고    scopus 로고
    • Reservoir computing approaches to recurrent neural network training
    • Aug
    • M. Lukosevi?cius and H. Jaeger, "Reservoir computing approaches to recurrent neural network training," Comput. Sci. Rev., vol. 3, no. 3, pp. 127-149, Aug. 2009
    • (2009) Comput. Sci. Rev , vol.3 , Issue.3 , pp. 127-149
    • Lukosevicius, M.1    Jaeger, H.2
  • 7
    • 0000487102 scopus 로고    scopus 로고
    • Estimating the support of a high-dimensional distribution
    • DOI 10.1162/089976601750264965
    • B. Schölkopf, J. Platt, J. Shawe-Taylor, A. Smola, and R. Williamson, "Estimating the support of a high-dimensional distribution," Neural Comput., vol. 13, no. 7, pp. 1443-1471, Jul. 2001 (Pubitemid 33595028)
    • (2001) Neural Computation , vol.13 , Issue.7 , pp. 1443-1471
    • Scholkopf, B.1    Platt, J.C.2    Shawe-Taylor, J.3    Smola, A.J.4    Williamson, R.C.5
  • 8
    • 0031269483 scopus 로고    scopus 로고
    • Neural-network-based robust fault diagnosis in robotic systems
    • PII S1045922797080934
    • A. Vemuri and M. Polycarpou, "Neural-network-based robust fault diagnosis in robotic systems," IEEE Trans. Neural Netw., vol. 8, no. 6, pp. 1410-1420, Nov. 1997 (Pubitemid 127765170)
    • (1997) IEEE Transactions on Neural Networks , vol.8 , Issue.6 , pp. 1410-1420
    • Vemuri, A.T.1    Polycarpou, M.M.2
  • 10
    • 0037443803 scopus 로고    scopus 로고
    • A review of process fault detection and diagnosis part III: Process history based methods
    • DOI 10.1016/S0098-1354(02)00162-X, PII S009813540200162X
    • V. Venkatasubramanian, R. Rengaswamy, S. Kavuri, and K. Yin, "A review of process fault detection and diagnosis: Part III: Process history based methods," Comput. Chem. Eng., vol. 27, no. 3, pp. 327-346, Mar. 2003 (Pubitemid 36285964)
    • (2003) Computers and Chemical Engineering , vol.27 , Issue.3 , pp. 327-346
    • Venkatasubramanian, V.1    Rengaswamy, R.2    Kavuri, S.N.3    Yin, K.4
  • 11
    • 78049528234 scopus 로고    scopus 로고
    • Fault diagnosis of ball bearings using machine learning methods
    • Mar.
    • P. Kankar, S. Sharma, and S. Harsha, "Fault diagnosis of ball bearings using machine learning methods," Expert Syst. Appl., vol. 38, no. 3, pp. 1876-1886, Mar. 2011
    • (2011) Expert Syst. Appl , vol.38 , Issue.3 , pp. 1876-1886
    • Kankar, P.1    Sharma, S.2    Harsha, S.3
  • 12
    • 84872036650 scopus 로고    scopus 로고
    • Fault detection and diagnosis of induction motors using motor current signature analysis and a hybrid FMM-CART model
    • Jan.
    • M. Seera, C. P. Lim, D. Ishak, and H. Singh, "Fault detection and diagnosis of induction motors using motor current signature analysis and a hybrid FMM-CART model," IEEE Trans. Neural Netw. Learn. Syst., vol. 23, no. 1, pp. 97-108, Jan. 2012
    • (2012) IEEE Trans. Neural Netw. Learn. Syst , vol.23 , Issue.1 , pp. 97-108
    • Seera, M.1    Lim, C.P.2    Ishak, D.3    Singh, H.4
  • 13
    • 80053303819 scopus 로고    scopus 로고
    • Self adaptive growing neural network classifier for faults detection and diagnosis
    • Nov.
    • M. Barakat, F. Druaux, D. Lefebvre, M. Khalil, and O. Mustapha, "Self adaptive growing neural network classifier for faults detection and diagnosis," Neurocomputing, vol. 74, no. 18, pp. 3865-3876, Nov. 2011
    • (2011) Neurocomputing , vol.74 , Issue.18 , pp. 3865-3876
    • Barakat, M.1    Druaux, F.2    Lefebvre, D.3    Khalil, M.4    Mustapha, O.5
  • 14
    • 56949099324 scopus 로고    scopus 로고
    • Performance assessment of a novel fault diagnosis system based on support vector machines
    • Jan
    • I. Yélamos, G. Escudero, M. Graells, and L. Puigjaner, "Performance assessment of a novel fault diagnosis system based on support vector machines," Comput. Chem. Eng., vol. 33, no. 1, pp. 244-255, Jan. 2009
    • (2009) Comput. Chem. Eng , vol.33 , Issue.1 , pp. 244-255
    • Yélamos, I.1    Escudero, G.2    Graells, M.3    Puigjaner, L.4
  • 15
    • 83655192093 scopus 로고    scopus 로고
    • Data-core-based fuzzy min-max neural network for pattern classification
    • Dec.
    • H. Zhang, J. Liu, D. Ma, and Z.Wang, "Data-core-based fuzzy min-max neural network for pattern classification," IEEE Trans. Neural Netw., vol. 22, no. 12, pp. 2339-2352, Dec. 2011
    • (2011) IEEE Trans. Neural Netw , vol.22 , Issue.12 , pp. 2339-2352
    • Zhang, H.1    Liu, J.2    Ma, D.3    Wang, Z.4
  • 16
    • 79951949007 scopus 로고    scopus 로고
    • Hierarchical fault diagnosis and health monitoring in satellites formation flight
    • Mar.
    • A. Barua and K. Khorasani, "Hierarchical fault diagnosis and health monitoring in satellites formation flight," IEEE Trans. Syst., Man, Cybern., Part C, Appl. Rev., vol. 41, no. 2, pp. 223-239, Mar. 2011
    • (2011) IEEE Trans. Syst., Man, Cybern., Part C, Appl. Rev , vol.41 , Issue.2 , pp. 223-239
    • Barua, A.1    Khorasani, K.2
  • 18
    • 84876926544 scopus 로고    scopus 로고
    • Chaotic time series prediction based on a novel robust echo state network
    • May
    • D. Li, M. Han, and J. Wang, "Chaotic time series prediction based on a novel robust echo state network," IEEE Trans. Neural Netw. Learn. Syst., vol. 23, no. 5, pp. 787-799, May 2012
    • (2012) IEEE Trans. Neural Netw. Learn. Syst , vol.23 , Issue.5 , pp. 787-799
    • Li, D.1    Han, M.2    Wang, J.3
  • 19
    • 0036834701 scopus 로고    scopus 로고
    • Real-time computing without stable states: A new framework for neural computation based on perturbations
    • Nov
    • W. Maass, T. Natschläger, and H. Markram, "Real-time computing without stable states: A new framework for neural computation based on perturbations," Neural Comput., vol. 14, no. 11, pp. 2531-2560, Nov. 2002
    • (2002) Neural Comput , vol.14 , Issue.11 , pp. 2531-2560
    • Maass, W.1    Natschläger, T.2    Markram, H.3
  • 20
    • 10944225085 scopus 로고    scopus 로고
    • Backpropagation-Decorrelation: Online recurrent learning with O(N) complexity
    • 2004 IEEE International Joint Conference on Neural Networks - Proceedings
    • J. J. Steil, "Backpropagation-decorrelation: Online recurrent learning with O(N) complexity," in Proc. IEEE Int. Joint Conf. Neural Netw., vol. 2. Jul. 2004, pp. 843-848 (Pubitemid 40011570)
    • (2004) IEEE International Conference on Neural Networks - Conference Proceedings , vol.2 , pp. 843-848
    • Steil, J.J.1
  • 21
    • 84868229207 scopus 로고    scopus 로고
    • Simple deterministically constructed cycle reservoirs with regular jumps
    • Jul.
    • A. Rodan and P. Tino, "Simple deterministically constructed cycle reservoirs with regular jumps," Neural Comput., vol. 24, no. 7, pp. 1822-1852, Jul. 2012
    • (2012) Neural Comput , vol.24 , Issue.7 , pp. 1822-1852
    • Rodan, A.1    Tino, P.2
  • 22
    • 0003149091 scopus 로고
    • Recurrent networks: Supervised learning
    • Cambridge, MA, USA MIT Press
    • K. Doya, "Recurrent networks: Supervised learning," in The Handbook of Brain Theory and Neural Networks. Cambridge, MA, USA: MIT Press, 1995, pp. 796-800
    • (1995) The Handbook of Brain Theory and Neural Networks , pp. 796-800
    • Doya, K.1
  • 24
    • 78651295386 scopus 로고    scopus 로고
    • Minimum complexity echo state network
    • Jan.
    • A. Rodan and P. Tino, "Minimum complexity echo state network," IEEE Trans. Neural Netw., vol. 22, no. 1, pp. 131-144, Jan. 2011
    • (2011) IEEE Trans. Neural Netw , vol.22 , Issue.1 , pp. 131-144
    • Rodan, A.1    Tino, P.2
  • 27
    • 84898982939 scopus 로고    scopus 로고
    • Exploiting generative models in discriminative classifiers
    • Cambridge, U.K.: Cambridge Univ. Press
    • T. Jaakkola and D. Haussler, "Exploiting generative models in discriminative classifiers," in Neural Information Processing Systems. Cambridge, U.K.: Cambridge Univ. Press, 1999, pp. 487-493
    • (1999) Neural Information Processing Systems , pp. 487-493
    • Jaakkola, T.1    Haussler, D.2
  • 28
  • 31
    • 10244238854 scopus 로고    scopus 로고
    • Fault identification for process monitoring using kernel principal component analysis
    • DOI 10.1016/j.ces.2004.08.007, PII S0009250904006013
    • J. Cho, J. Lee, S. Wook Choi, D. Lee, and I. Lee, "Fault identification for process monitoring using kernel principal component analysis," Chem. Eng. Sci., vol. 60, no. 1, pp. 279-288, Jan. 2005 (Pubitemid 39622624)
    • (2005) Chemical Engineering Science , vol.60 , Issue.1 , pp. 279-288
    • Cho, J.-H.1    Lee, J.-M.2    Choi, S.W.3    Lee, D.4    Lee, I.-B.5
  • 33
    • 33847172327 scopus 로고    scopus 로고
    • Clustering by passing messages between data points
    • DOI 10.1126/science.1136800
    • B. Frey and D. Dueck, "Clustering by passing messages between data points," Science, vol. 315, no. 5814, pp. 972-976, Jan. 2007 (Pubitemid 46281181)
    • (2007) Science , vol.315 , Issue.5814 , pp. 972-976
    • Frey, B.J.1    Dueck, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.