How to fight the wrapping effect
Proceedings of the International Symposium on interval mathematics on Interval mathematics 1985
Constraint reasoning based on interval arithmetic: the tolerance propagation approach
Artificial Intelligence - Special volume on constraint-based reasoning
Robust model-based fault diagnosis for dynamic systems
Robust model-based fault diagnosis for dynamic systems
Gas-Turbine Condition Monitoring Using Qualitative Model-Based Diagnosis
IEEE Expert: Intelligent Systems and Their Applications
Benchmarking on approaches to interval observation applied to robust fault detection
COCOS'03 Proceedings of the Second international conference on Global Optimization and Constraint Satisfaction
Benchmarking on approaches to interval observation applied to robust fault detection
COCOS'03 Proceedings of the Second international conference on Global Optimization and Constraint Satisfaction
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The problem of robust model based fault detection of dynamic systems using interval observers has been mainly addressed checking if the measured output is inside the interval of possible estimated outputs obtained considering uncertainty on model parameters. This task can be computationally expensive because the interval observers can be affected by the wrapping effect. In this paper, a mixed approach consisting in determining a computationally cheaper inner approximation of the estimated output interval, based only on simulating vertices of parameter uncertainty region (forward test), is combined with a backward consistency check when the real measured output falls outside this inner solution (backward check). The backward check is implemented using interval constraint satisfaction algorithms which can perform efficiently in deciding if the measured output is consistent with the interval model. The classical alternative to this backward check will force to solve a global optimisation problem, or equivalently, a global consistency problem. Finally, this approach will be tested on a gas turbine nozzle servosystem.