Fault diagnosis in systems using fuzzy logic

1 January 1994

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

p. 883-888 vol.2
https://doi.org/10.1109/cca.1994.381205

Abstract

Two tasks of fault detection in linear dynamical systems are addressed in this paper. On one hand, to estimate residuals, a system described by a model with some deviations in parameters or unknown input disturbances is considered. In such a situation, sensor fault detection using classical methods is not very efficient. In order to solve this problem, an adaptive thresholding approach using fuzzy logic is proposed. On the other hand, to locate faults, a fuzzy logic technique is put in place of usual classical logic used with dedicated observer scheme.

Keywords

This publication has 8 references indexed in Scilit:

Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy
Automatica, 1990
Process fault detection based on modeling and estimation methods—A survey
Automatica, 1984
Analytical redundancy and the design of robust failure detection systems
IEEE Transactions on Automatic Control, 1984
Pattern Recognition with Fuzzy Objective Function Algorithms
Published by Springer Nature ,1981
Detecting Instrument Malfunctions in Control Systems
IEEE Transactions on Aerospace and Electronic Systems, 1975
Application of fuzzy algorithms for control of simple dynamic plant
Proceedings of the Institution of Electrical Engineers, 1974
Fuzzy algorithms
Information and Control, 1968
Fuzzy sets
Information and Control, 1965