Abstract
Abstract Industry uses mostly information on measurements passing limits as inputs to diagnostic systems. Asking the question on what can be achieved by such systems, we aim at an optimal design of diagnostic systems. The approach is, in contrast to the currently available techniques, based on continuous models that are mapped into discrete-event dynamic systems in the form of nondeterministic automata, with faults being constraint to have event-dynamic, that is, they occur and persist. We compute domains in which faults can be isolated or detected and discuss guidelines on how to design an application-optimal fault detection and isolation mechanisms.
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