A MULTIMODEL METHOD TO FAULT-DETECTION AND DIAGNOSIS - BAYESIAN SOLUTION - AN INTRODUCTORY TREATISE

In the paper, a method for solving fault detection and diagnosis probl ems in sampled-data stochastic systems is presented As a main methodol ogy tool the Bayesian view on uncertainty is exploited. The method can be classified as of a multi-model type. It requires to supply mathema tical models of the system dynamics, each describing the situation whe n a particualr fault separately acts on the system or when the system behaves normally (i.e. as desired). At the stage of research, discrete -time stochastic causal input-output non-parametrized models are suppo rted. As discrete-time courses, model of the actual system behaviour i s recursively estimated and a decision on the actually acting fault is given. The presented method solves both the fault detection and diagn osis tasks simultaneously. Three illustrative examples show the method in action, possibly demonstrating a range of its applications. (C) 19 98 John Wiley & Sons, Ltd.