Abstract
Concerning their reliability, several state-estimator-based schemes for deterministic and stochastic instrument fault detection and isolation (IFDI) are analysed. Based on the Markovian theory, these schemes and a classical hardware-realized majority voting system are modeled. The resulting models make possible a comparison of the different schemes by calculating their survival probability, their mean life, their availability or other characteristic quantities of reliability. To allow a uniform comparison, an intelligent measuring system (IMS) with three different input variables to be supervised is taken as a basis. For this example, numerical and simulation results show the advantages and disadvantages of each estimator-scheme also compared with the hardware-realized voting system. Additionally, the influence of the quality of estimators will be investigated.
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