A graph theory-based approach to the description of the process and the diagnostic system

• Autorzy: Kościelny Jan Maciej , Bartyś Michał , Syfert Michał , Sztyber Anna

Identyfikatory

DOI

10.34768/amcs-2022-0016

• Języki publikacji: EN

Abstrakty

EN

The paper proposes an original, comprehensive, and methodically consistent graph theory-based approach to the description of the diagnosed process and the diagnosing system. The main baseline of the presented approach is in the dichotomous approach to diagnosing. It involves a separate description of both the process and the diagnostic system. This approach reflects the practice of designing implementable diagnostic systems. Thus, it can be seen as a proposal of a new, alternative, and, at the same time, flexible design procedure with great potential for applications. The primary motivation behind it was an attempt to circumvent the numerous limitations of well-known and well-established diagnosis approaches proposed by the communities working on fault detection and isolation (FDI) and artificial intelligence theories for diagnosis (DX). Accordingly, the paper identifies and provides an extensive discussion and a critical analysis of the existing limitations. Numerous examples and references to practical applications of the approach are indicated.

Słowa kluczowe

EN

graph of the process; graph of the diagnostic system; fault detection; fault isolation; qualitative model; limitations of diagnostic approaches

PL

wykres procesu; system diagnostyczny; wykrywanie uszkodzeń; izolacja uszkodzeń; model jakościowy

• Wydawca: Oficyna Wydawnicza Uniwersytetu Zielonogórskiego
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2022
• Tom: Vol. 32, no. 2
• Strony: 213--227
• Opis fizyczny: Bibliogr. 72 poz., rys., tab.

Twórcy

autor

Kościelny Jan Maciej

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

autor

Bartyś Michał

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

autor

Syfert Michał

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

autor

Sztyber Anna

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

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