Analysis of fault isolation assumptions when comparing model-based design approaches of diagnosis systems
Most model-based diagnosis approaches reported in the literature adopt a generic
architecture and approach. However, the fault hypotheses generated by these methods may
differ. This is not only due to the methods, but also on the basic assumptions made by
different diagnostic algorithms on fault manifestation and evolution. While comparing different
diagnosis approaches, the assumptions made in each case will have a significant effect on fault
diagnosability performance and must therefore also be taken into consideration. Thus, to make
a fair comparison, the different approaches should be designed based on the same assumptions.
This paper studies the relation between a set of commonly made assumptions and fault isolability
performance in order to compare different diagnosis approaches. As a case study, five developed
diagnosis systems for a wind turbine benchmark problem are evaluated to analyze the type of
assumptions that are applied in the different designs.
Daniel Jung, Hamed Khorasgani, Erik Frisk, Mattias Krysander and Gautam Biswas
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Last updated: 2021-11-10