메뉴 건너뛰기




Volumn 43, Issue 6, 1994, Pages 867-873

A Neural Network Approach for Identification and Fault Diagnosis on Dynamic Systems

Author keywords

[No Author keywords available]

Indexed keywords

FAILURE ANALYSIS; IDENTIFICATION (CONTROL SYSTEMS); LEARNING SYSTEMS; SYSTEMS ANALYSIS;

EID: 0028749571     PISSN: 00189456     EISSN: 15579662     Source Type: Journal    
DOI: 10.1109/19.368083     Document Type: Article
Times cited : (94)

References (25)
  • 4
    • 46549099036 scopus 로고
    • Consistent Structure Determination of Noisy Measurement System Model
    • M. D’Apuzzo and L. Sansone, “Consistent Structure Determination of Noisy Measurement System Model,” Measurement, vol. 3, pp. 40-43, 1985.
    • (1985) Measurement , vol.3 , pp. 40-43
    • D’Apuzzo, M.1    Sansone, L.2
  • 5
    • 84941533235 scopus 로고
    • A Method for On-Line Structural Identification of Multivariable Systems
    • Simulation and Control
    • M. D’Apuzzo and L. Sansone, “A Method for On-Line Structural Identification of Multivariable Systems,” IMACS Trans. Complex and Distributed Systems: Analysis, Simulation and Control, vol. 4, pp. 27-31, 1986.
    • (1986) IMACS Trans. Complex and Distributed Systems: Analysis , vol.4 , pp. 27-31
  • 8
    • 0024880831 scopus 로고
    • Multilayer Feedforward Networks Are Universal Approximators
    • K. Hornik, M. Stinchcombe, and H. White, “Multilayer Feedforward Networks Are Universal Approximators,” Neural Networks, no. 2, pp. 359-366, 1989.
    • (1989) Neural Networks , Issue.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 10
    • 0012061123 scopus 로고
    • A Subgrouping Strategy that Reduces Complexity and Speeds Up Learning in Recurrent Networks
    • D. Zipser, “A Subgrouping Strategy that Reduces Complexity and Speeds Up Learning in Recurrent Networks,” Neural Computation, no. 1, pp. 552-558, 1989.
    • (1989) Neural Computation , Issue.1 , pp. 552-558
    • Zipser, D.1
  • 13
    • 0026254768 scopus 로고
    • A General Regression Neural Network
    • D. F. Specht, “A General Regression Neural Network,” IEEE Trans. Neural vol. 1991.
    • (1991) IEEE Trans. Neural.
    • Specht, D.F.1
  • 14
    • 0025399567 scopus 로고
    • Identification and Control of Dynamical Systems Using Neural Networks
    • K. S. Narendra and K. Parthasarathy, “Identification and Control of Dynamical Systems Using Neural Networks,” IEEE Trans. Neural Networks, vol. 1, no. 1, 4-27, 1990.
    • (1990) IEEE Trans. Neural Networks , vol.1 , Issue.1 , pp. 4-27
    • Narendra, K.S.1    Parthasarathy, K.2
  • 15
    • 33747502651 scopus 로고
    • Using a Recursive Algorithm for Fault Detection in Electrical Systems
    • A. Bernieri and M. D’Apuzzo, “Using a Recursive Algorithm for Fault Detection in Electrical Systems,” in Proc. 12th IMEKO World Congress, 1991, pp. 1365-1370.
    • (1991) Proc. 12th IMEKO World Congress , pp. 1365-1370
    • Bernieri, A.1    D’Apuzzo, M.2
  • 16
    • 0026850935 scopus 로고
    • Measurement Problems Arising from the Use of a Recursive Algorithm for Model Identification of Electrical Systems
    • A. Bernieri, G. Betta, and M. D’Apuzzo, “Measurement Problems Arising from the Use of a Recursive Algorithm for Model Identification of Electrical Systems,” IEEE Trans. Instrum. Meas., vol. 41, no. 2, 1992, pp. 240-245.
    • (1992) IEEE Trans. Instrum. Meas. , vol.41 , Issue.2 , pp. 240-245
    • Bernieri, A.1    Betta, G.2    D’Apuzzo, M.3
  • 17
  • 18
    • 0021468997 scopus 로고
    • Process Fault Detection Based on Modeling and Estimation Methods—A Survey
    • R. Isermann, “Process Fault Detection Based on Modeling and Estimation Methods—A Survey,” Automatica, vol. 20, pp. 387-404, 1984.
    • (1984) Automatica , vol.20 , pp. 387-404
    • Isermann, R.1
  • 20
    • 0025464263 scopus 로고
    • Structure Identification of Nonlinear Dynamic Systems—A Survey on Input/Output Approaches
    • R. Haber and H. Unbehauen, “Structure Identification of Nonlinear Dynamic Systems—A Survey on Input/Output Approaches,” Automatica, vol. 26, no. 4, pp. 651-677, 1990.
    • (1990) Automatica , vol.26 , Issue.4 , pp. 651-677
    • Haber, R.1    Unbehauen, H.2
  • 24
    • 0019058502 scopus 로고
    • Correlation Methods
    • K. R. Godfrey, “Correlation Methods,” Automatica, vol. 16, pp. 527-534, 1980.
    • (1980) Automatica , vol.16 , pp. 527-534
    • Godfrey, K.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.