Structural analysis for fault diagnosis of models with constraints
Structural analysis is a standard tool to identify submodels that can
be used to design model based diagnostic tests. Structural approaches
typically operate on models described by a set of equations. This work
extends such methods to be able to handle models with constraints,
e.g. inequality constraints on state variables. The objective is to
improve isolability properties of a diagnosis system by extending the
class of redundancy relations. An algorithm is developed that
identifies which are the constraints and equations that can be used
together to derive a new test that can not be found using previous
approaches.
Jan Åslund and Erik Frisk
2009
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