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Volumn 4, Issue 2, 2007, Pages 117-124

Fault detection under fuzzy model uncertainty

Author keywords

Fault diagnosis; Fuzzy systems; Noise; Uncertainty

Indexed keywords

ACOUSTIC NOISE; DECISION THEORY; FUZZY SETS; ROBUST CONTROL; UNCERTAINTY ANALYSIS;

EID: 34547259585     PISSN: 14768186     EISSN: 17518520     Source Type: Journal    
DOI: 10.1007/s11633-007-0117-1     Document Type: Article
Times cited : (17)

References (25)
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    • Fuzzy Identification of Systems and Its Application to Modelling and Control
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    • Takagi, T.1    Sugeno, M.2
  • 14
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    • D. Rutkowska, L. Zadeh. Eds., Neuro-fuzzy and Soft Computing. Special issue of International Journal of Applied Mathematics and Computer Science, 10, no. 4, 2000.
    • D. Rutkowska, L. Zadeh. Eds., Neuro-fuzzy and Soft Computing. Special issue of International Journal of Applied Mathematics and Computer Science, vol. 10, no. 4, 2000.
  • 16
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    • Set Membership Identification of Nonlinear Systems
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    • Milanese, M.1    Novara, C.2
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    • A GMDH Neural Network-based Approach to Robust Fault Diagnosis: Application to the DAMADICS Benchmark Problem
    • M. Witczak, J. Korbicz, M. Mrugalski, R. J. Patton. A GMDH Neural Network-based Approach to Robust Fault Diagnosis: Application to the DAMADICS Benchmark Problem. Control Engineering Practice, vol. 14, no. 6, pp. 671-683, 2006.
    • (2006) Control Engineering Practice , vol.14 , Issue.6 , pp. 671-683
    • Witczak, M.1    Korbicz, J.2    Mrugalski, M.3    Patton, R.J.4
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    • Survey of Robust Residual Generation and Evaluation Methods
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  • 25
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    • Robust Fault Detection Using Neuro-Fuzzy Networks
    • Prague, Czech Republic
    • M. Kowal, J. Korbicz. Robust Fault Detection Using Neuro-Fuzzy Networks. In Proceedings of 16th IFAC World Congress, Prague, Czech Republic, 2005.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.