Fault Diagnosis Method Integrated Fuzzy Logic and Particle Filter for Nonlinear Systems

• Autorzy: Zhang S. , Zhu L.

Warianty tytułu

PL

Algorytm wykrywania awarii w systemach nieliniowych - wykorzystanie logiki rozmytej i filtru cząsteczkowego

• Języki publikacji: EN

Abstrakty

EN

A new fault diagnosis method based on integrated fuzzy logic and particle filter for nonlinear systems is proposed to improve the accuracy of fault diagnosis. The Water Level and Temperature Control System is taken as test-bed process, with different switching states simulating possible system faults. The simulation result show that the proposed method could diagnose fault more accurately than that based on two-valued logic.

PL

W artykule zaprezentowano nową metodę wykrywania awarii w opartą na logice rozmytej i filtrze cząsteczkowym. Metoda dedykowana układom nieliniowym, zwiększa dokładność detekcji stanów niepożądanych. Przeprowadzone badania symulacyjne i eksperymentalne w układzie regulacji temperatury oraz poziomu cieczy, potwierdziły zwiększoną skuteczność algorytmu dla różnych przypadków awarii.

Słowa kluczowe

EN

fault diagnosis; particle filter; fuzzy logic; nonlinear system

PL

wykrywanie awarii; filtr cząsteczkowy; logika rozmyta; system nieliniowy

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2012
• Tom: R. 88, nr 11a
• Strony: 283--287
• Opis fizyczny: Bibliogr. 20 poz., tab., rys.

Twórcy

autor

Zhang S.

autor

Zhu L.

• Beijing Jiaotong University, Beijing 100044, China,

Bibliografia

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