Structural Analysis for Fault Diagnosis of DAE Systems Utilizing MSS Sets
When designing model-based fault-diagnosis systems, the use of consistency
relations (also called e.g. parity relations) is a common choice. Different
subsets are
sensitive to different subsets of faults, and thereby isolation can be
achieved. This paper
presents an algorithm for finding a small set of submodels that can be
used to derive consistency relations with highest possible diagnosis
capability.
The algorithm handles differential algebraic models and
is based on graph theoretical reasoning about structure of the model.
An important step, towards finding these submodels and therefore also
towards
finding consistency relations, is to find all minimal structurally singular
(MSS) sets of
equations. These sets characterize the fault diagnosability. The algorithm
is successfully applied to a large
nonlinear industrial example, a paper plant.
Mattias Krysander and Mattias Nyberg
IFAC World Congress,
2002
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