Publication details

Mixed-data multi-modelling for fault detection and isolation

Journal Article

Kárný Miroslav, Nagy Ivan, Novovičová Jana


serial: International Journal of Adaptive Control and Signal Processing vol.16, 1 (2002), p. 61-83

research: CEZ:AV0Z1075907

project(s): IST9912058, EC, GA102/99/1564, GA ČR, VS96063, GA MŠk

keywords: fault detection and isolation, mixed mixture models, quasi-Bayes adaptive estimation

preview: Download

abstract (eng):

Early recognition/isolation of a faulty behaviour of a dynamic system is presented. Fault detection and isolation methods based on adaptive probabilistic models with multiple modes represent a theoretically well justified way of solution.The complexity problem is addressed here by employing an efficient quasi-Bayes estimation algorithm. It is directly applicable to the mixture of components created as products of factors belonging to the exponential family. The theory is illustrated by a simulation example.

Cosati: 09I, 12B

RIV: BC