Model Based Diagnosis Using Structured Hypothesis Tests
A new framework for fault diagnosis, called \emph{structured
hypothesis tests}, is proposed. The basic idea is to construct the
diagnosis system by combining a set of hypothesis tests. In this
way, the task of diagnosis is transferred to the task of validating
a set of different models with respect to the measured data.
Arbitrary types of faults, including multiple faults, can be
handled. That means that one single diagnosis system can diagnose
faults of many different types. When using structured hypothesis
tests, existing diagnosis methods such as residual generation,
parameter estimation, and statistical methods, become parts of one
common framework.
Mattias Nyberg
IFAC Fault Detection, Supervision and Safety for Technical Processes,
2000
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Last updated: 2021-11-10
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