Guaranteed model-based fault detection in cyber–physical systems: A model invalidation approach
| Autor: | Necmiye Ozay, Farshad Harirchi |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Linear programming Computer science Cyber-physical system 02 engineering and technology Fault (power engineering) Fault detection and isolation System model 020901 industrial engineering & automation Control and Systems Engineering 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Affine transformation Electrical and Electronic Engineering Fault model Algorithm Parametric statistics |
| Zdroj: | Automatica. 93:476-488 |
| ISSN: | 0005-1098 |
| Popis: | This paper presents a sound and complete fault detection approach for cyber–physical systems represented by hidden-mode switched affine models with time varying parametric uncertainty. The fault detection approach builds upon techniques from model invalidation. In particular, a set-membership approach is taken where the noisy input–output data is compared to the set of behaviors of a nominal model. As we show, this set-membership check can be reduced to the feasibility of a mixed-integer linear programming (MILP) problem, which can be solved efficiently by leveraging the state-of-the-art MILP solvers. In the second part of the paper, given a system model and a fault model, the concept of T -detectability is introduced. If a pair of system and fault models satisfies T -detectability property for a finite T , this allows the model invalidation algorithm to be implemented in a receding horizon manner, without compromising detection guarantees. In addition, the concept of weak-detectability is introduced which extends the proposed approach to a more expressive class of fault models that capture language constraints on the mode sequences. Finally, the efficiency of the approach is illustrated with numerical examples motivated by smart building radiant systems. |
| Databáze: | OpenAIRE |
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