Generalized reasoning about faults based on the diagnostic matrix

• Autorzy: Bartyś M.
• Języki publikacji: EN

Abstrakty

EN

This paper introduces a set of comprehensive general reasoning rules about single faults based on a diagnostic matrix. The reasoning scheme unifies inference about faults based on a conventional binary diagnostic matrix, a two- and three-valued fault isolation system as well as on their fuzzy counterparts. There are introduced and defined notions of alternative and dominant fault signatures, fuzzy fault signatures as well as a matrix of alternative signatures. This matrix is supposed to be used instead of the classic diagnostic one. It is also shown that dominant fault signatures are transformable into alternative ones. Finally, three variants of concise general reasoning rules of faults are given. Three examples illustrate key point issues of the paper. The first example refers to a medical diagnostic case. It shows an instance of dominant fault signatures and, in fact, proposes a rational approach for planning diagnostic tests. The other examples describe the fuzzy reasoning approach employing a matrix of fuzzy alternative signatures applicable for use with multi-valued fuzzy diagnostic signals. Future works are outlined in the summary section.

Słowa kluczowe

EN

fault isolation; binary diagnostic matrix; fault information system; alternative fault signature; dominant fault signature; matrix of alternative fault signatures; fuzzy diagnosis

PL

lokalizacja uszkodzeń; binarna macierz diagnostyczna; sygnatura alternatywna

• Wydawca: Oficyna Wydawnicza Uniwersytetu Zielonogórskiego
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2013
• Tom: Vol. 23, no. 2
• Strony: 407--417
• Opis fizyczny: Bibliogr. 18 poz., rys., tab.

Twórcy

autor

Bartyś M.

• Institute of Automatic Control and Robotics, Warsaw University of Technology, św. A. Boboli 8, 02-525 Warsaw, Poland

Bibliografia

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• [12] Kościelny, J.M. and Bartyś, M. (2003). Fuzzy logic application for diagnostic reasoning, 5th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS 2003, Washington, DC, USA, pp. 633–638.
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