Robust fault detection via GMDH neural networks

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 16, Issue , 2005, Pages 83-88

  Mrugalski, Marcin ^a   Korbicz, Joźef ^a   Patton, Ron J ^b  

^a UNIVERSITY OF ZIELONA GÓRA   (Poland)

^b UNIVERSITY OF HULL   (United Kingdom)

Author keywords

Bounded error approach; Identification; Neural networks; Robust fault detection

Indexed keywords

DATA HANDLING; FAULT DETECTION; IDENTIFICATION (CONTROL SYSTEMS);

BOUNDED-ERROR APPROACHES; CONFIDENCE ESTIMATION; DYNAMIC GROUPS; GMDH NEURAL NETWORK; NEW PARAMETERS; ROBUST FAULT DETECTION;

NEURAL NETWORKS;

EID: 79960736911     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20050703-6-cz-1902.01816     Document Type: Conference Paper

References (10)

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10. Witczak, M., Korbicz, J., Mrugalski, M. and R. J. Patton (2005). A GMDH neural network based approach to robust fault detection and its application to solve the DAMADICS benchmark problem. Control Engineering Practice, (accepted).