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Combining AI, FDI, and Statistical Hypothesis-Testing in a Framework for Diagnosis

A new framework for model based diagnosis is presented using ideas from AI, FDI, and statistical hypothesis testing. The isolation mechanism is based on AI methods, and the main advantage is that multiple faults are handled implicitly. Thus, no special care for isolation of multiple faults is needed. The methods for residual generation, developed in the field of control theory (FDI), can within the framework be fully utilized. Since the framework is also based upon statistical hypothesis testing, it is suitable for problems including noise.

Mattias Nyberg and Mattias Krysander


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Senast uppdaterad: 2019-04-23