Fault detection with dynamic GMDH neural networks: Application to the DAMADICS benchmark problem

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 36, Issue 5, 2003, Pages 969-974

  Mrugalski, Marcin ^a   Arinton, Eugen ^a   Korbicz, Józer ^a  

^a UNIVERSITY OF ZIELONA GÓRA   (Poland)

Author keywords

Fault diagnosis; Neural networks; Non linear systems; System identification

Indexed keywords

BENCHMARKING; DATA HANDLING; FAILURE ANALYSIS; IDENTIFICATION (CONTROL SYSTEMS); LINEAR SYSTEMS; NEURAL NETWORKS; PLANT MANAGEMENT;

DAMADICS BENCHMARK PROBLEMS; DYNAMIC NEURONS; GMDH NEURAL NETWORK; GROUP METHOD OF DATA HANDLING; IDENTIFICATION METHOD;

FAULT DETECTION;

EID: 33644623823     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/S1474-6670(17)36618-1     Document Type: Conference Paper

References (8)

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4. J. Korbicz, K. Patan, and A. Obuchowicz Dynamic neural networks for process modelling in fault detection and isolation systems Int. Appl. Math. and Comp. Sci. 9 3 1999 519 546
5. J.E. Mueller, and F. Lemke Self-organising Data Maining 2000 Libri Hamburg
6. M. Mrugalski, E. Arinton, and J. Korbicz Methods of neuron selection in synthesis of GMDH neural networks Proc. 14th Polish Control Conference Zielona Góra, Poland, 24-27 June 2002 845 850
7. O. Nelles Non-linear Systems Identification From Classical Approaches to Neural Networks and Fuzzy Models 2001 Springer Berlin
8. R.J. Patton, P. Frank, and R.N. Clark Issues of Fault Diagnosis for Dynamic Systems 2000 Springer-Verlag Berlin