ON FAULT DIAGNOSIS OF ANALOGUE ELECTRONIC CIRCUITS WITH ACCESSIBILITY TO INTERNAL NODES BASED ON TRANSFORMATIONS IN MULTIDIMENSIONAL SPACES

Zbigniew Czaja, Romuald Zielonko

Abstract

In the paper new methods of fault localisation and identification in linear electronic circuits (two-port or multiport type) based on bilinear transformations in multidimensional spaces are presented. The novelty of these methods lies in transferring family of identification loci from a plane to multidimensional spaces. It implies greater distances between the loci and, in consequence, better fault resolution as well as robustness against non-faulty component tolerances and measurement errors. The methods can be used for diagnosis of electronic circuits in conventional testing systems and neural networks. They may be also useful in one or two-parameter identification measurements of other multi-parameter objects modelled by electrical circuits.

Keywords

fault localisation and identification, neural network, transformations in multidimensional spaces

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PWC-2003-TC10-020.pdf

DOI

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IMEKO TC

TC10 - Measurement for Diagnostics, Optimization and Control

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