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
2003
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