Using quantitative diagnosability analysis for optimal sensor placement
A good placement of sensors is crucial to get good performance in
detecting and isolating faults. Here, the sensor placement problem
is cast as a minimal cost optimization problem. Previous works have
considered this problem with qualitative detectability and
isolability specifications. A key contribution here is that
quantified detectability and isolability performance is considered
in the optimization formulation. The search space for the posed
optimization problem is exponential in size, and to handle
complexity a greedy optimization algorithm that compute optimal
sensor positions is proposed. Two examples illustrate how the
optimal solution depends on the required quantified diagnosability
performance and the results are compared to the solutions using a
deterministic method.
Daniel Eriksson, Mattias Krysander and Erik Frisk
Proceedings of IFAC Safe Process 2012,
2012
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