Fault detection with observers and genetic programming: Application to the DAMADICS benchmark problem

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 36, Issue 5, 2003, Pages 1101-1106

  Witczak, Marcin ^a   Patton, Ron J ^b   Korbicz, Józef ^a  

^a UNIVERSITY OF ZIELONA GÓRA   (Poland)

^b UNIVERSITY OF HULL   (United Kingdom)

Author keywords

Fault diagnosis; Genetic algorithms; Non linear systems; Observers; System identification

Indexed keywords

BENCHMARKING; FAILURE ANALYSIS; GENETIC ALGORITHMS; GENETIC PROGRAMMING; IDENTIFICATION (CONTROL SYSTEMS); LINEAR SYSTEMS; NONLINEAR SYSTEMS; PLANT MANAGEMENT; STATE SPACE METHODS;

DAMADICS BENCHMARK PROBLEMS; FAULT DIAGNOSIS SCHEMES; GENETIC PROGRAMMING TECHNIQUE; NON LINEAR; OBSERVERS; RESIDUAL GENERATION; STATE - SPACE MODELS; UNKNOWN INPUT OBSERVER;

FAULT DETECTION;

EID: 85064434016     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/S1474-6670(17)36640-5     Document Type: Conference Paper

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