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This paper is focused on the diagnosis of analog and mixed electronic circuit in frequency domain. A multi tone signal excites a circuit under test in order to detect and locate a single fault. The input signal consists of a number of frequencies which are selected by Principal Component Analysis (PCA) algorithm. An exemplary circuit has been examined and results have been discussed.
There is a method of global parametric faults location in analogue integrated circuits presented in this paper. Circuit Under Test is diagnosed in the time domain. The method is based on a utilisation of the tested device response and its derivative base features, i.e. following maxima and minima. The set consisted of base features is transformed into an advanced feature. Base features and the advanced...
This article presents combined approach to analog electronic circuits testing by means of evolutionary methods (genetic algorithms) and using some aspects of information theory utilisation and wavelet transformation. Purpose is to find optimal excitation signal, which maximises probability of fault detection and location. This paper fo-cuses on most difficult case where very few (usually only input...
This paper presents a new concept to analog fault diagnosis. Problem of distinguishing between healthy or faulty analog circuit has always been very complicated. The most common approach based on pattern recognition, especially on mean square error measure, can not distinguish all faulty circuits from the healthy one. Normally, the dictionary has to include thousands of patterns and even then, the...
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