Fuzzy diagnostic reasoning that takes into account the uncertainty of the relation between faults and symptoms

• Autorzy: Kościelny J. M. , Syfert M.
• Języki publikacji: EN

Abstrakty

EN

Knowledge about the relation between faults and the observed symptoms is necessary for fault isolation. Such a relation can be expressed in various forms, including binary diagnostic matrices or information systems. The paper presents the use of fuzzy logic for diagnostic reasoning. This method enables us to take into account various kinds of uncertainties connected with diagnostic reasoning, including the uncertainty of the faults-symptoms relation. The presented methods allow us to determine the fault certainty factor as well as certainty factors of the normal and unknown process states. The unknown process state factor groups all the states with unknown and multiple faults with the states with improper residual values, while the normal state factor indicates similarity between the observed state and the pattern fault-free state.

Słowa kluczowe

EN

fault isolation; fuzzy logic; diagnostic relation; uncertainty

PL

lokalizacja uszkodzeń; logika rozmyta; relacje diagnostyczne; niepewność

• Wydawca: Oficyna Wydawnicza Uniwersytetu Zielonogórskiego
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2006
• Tom: Vol. 16, no 1
• Strony: 27--35
• Opis fizyczny: Bibliogr. 14 poz., rys., tab., wykr.

Twórcy

autor

Kościelny J. M.

• Institute of Automatic Control and Robotics, Warsaw University of Technology, ul. Św. Andrzeja Boboli 8, 02–525 Warsaw, Poland

autor

Syfert M.

• Institute of Automatic Control and Robotics, Warsaw University of Technology, ul. Św. Andrzeja Boboli 8, 02–525 Warsaw, Poland

Bibliografia

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• [14] Syfert M. (2003): The diagnostics of industrial processes with the use of partial models and fuzzy logic. - Ph.D. thesis, Faculty of Mechatronics, Warsaw University of Technology, Warsaw, Poland, (in Polish).