Investigating the problem of misdiagnosis in model-based fault diagnosis

• Autorzy: Kościelny Jan Maciej , Bartyś Michał

Identyfikatory

DOI

10.61822/amcs-2025-0017

• Języki publikacji: EN

Abstrakty

EN

This paper deals with one partly unconscious property of the model-based diagnosis. It discusses occasional contradictions between diagnoses that are logically correct but, in fact, are not consistent with the physical state of the system being diagnosed. This property is studied and discussed based on the analysis of diagnoses generated by four selected approaches using binary and trivalent diagnostic signals. The authors attribute the reasons for this inconsistency to the effect of compensation of fault impacts. The analysis and simulation studies carried out confirmed this assumption. To address this problem, new definitions of diagnoses have been proposed that reflect the different degrees to which diagnoses relate to the actual physical state of the system being diagnosed. In this context, several new metrics for assessing the quality of diagnoses have also been proposed. It is pointed out that, from the utilitarian point of view, only those diagnoses that are logically consistent and have the attribute of physicality are valuable. The problem of misdiagnosis was illustrated on an example of a two-tank system.

Słowa kluczowe

EN

diagnostic reasoning; misdiagnosis; fault isolation; fault distinguishability

PL

wnioskowanie diagnostyczne; izolacja uszkodzeń; rozróżnialność uszkodzeń

• Wydawca: Oficyna Wydawnicza Uniwersytetu Zielonogórskiego
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2025
• Tom: Vol. 35, no. 2
• Strony: 235--250
• Opis fizyczny: Bibliogr. 44 poz., rys., tab.

Twórcy

autor

Kościelny Jan Maciej

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

autor

Bartyś Michał

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

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).