Fault diagnosis of dynamical systems using evolutionary algorithms

• Autorzy: Witczak M. , Korbicz J.
• Konferencja: Evolutionary Computation and Global Optimization 2006 / National Conference (9 ; 31.05-2.06.2006 ; Murzasichle, Poland)
• Języki publikacji: EN

Abstrakty

EN

Challenging and complex design problems arise regularly in modern fault diagnosis systems. Unfortunately, the classical analytical techniques cannot often provide acceptable solutions to such difficult tasks. This explains why soft computing techniques such as evolutionary algorithms are becoming more and more popular in industrial applications of fault diagnosis. The main objective of this paper is to present recent developments regarding the application of evolutionary algorithms in fault diagnosis. The main attention is on the techniques that integrate the classical and evolutionary approaches. A selected example, dealing with the DAMADICS benchmark, is carefully described in the paper.

Słowa kluczowe

EN

evolutionary algorithm; EA; dynamic system; fault diagnosis; fault detection and isolation; FDI; DAMADICS benchmark

PL

algorytm ewolucyjny; układ dynamiczny; diagnostyka uszkodzeń; detekcja uszkodzeń; izolacja uszkodzeń

• Wydawca: Oficyna Wydawnicza Politechniki Warszawskiej
• Czasopismo: Prace Naukowe Politechniki Warszawskiej. Elektronika
• Rocznik: 2006
• Tom: z. 156
• Strony: 413--420
• Opis fizyczny: Bibliogr. 26 poz., rys., wykr.

Twórcy

autor

Witczak M.

autor

Korbicz J.

• University of Zielona Góra, Institute of Control and Computation Engineering, Zielona Góra, Poland,

Bibliografia

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