Faults Classification in Analog Circuits Using Nearest Neighbours of Fault Variables

Puvaneswari, G. and UmaMaheswari, S. (2020) Faults Classification in Analog Circuits Using Nearest Neighbours of Fault Variables. In: Emerging Trends in Engineering Research and Technology Vol. 8. B P International, pp. 133-138. ISBN 978-93-90206-16-2

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Abstract

Faults classification using nearest neighbour estimate of fault variables of circuit under test (CUT) is
proposed. Fault variables corresponding to the components of CUT are found from the fault free,
faulty circuit parameters and test vectors of the components. The proposed method does not require
any test point or node selection techniques for fault diagnosis. The faults classification technique is
tested using benchmark circuits like Sallen Key Band Pass Filter.

Item Type: Book Section
Subjects: Article Paper Librarian > Engineering
Depositing User: Unnamed user with email support@article.paperlibrarian.com
Date Deposited: 06 Nov 2023 04:54
Last Modified: 06 Nov 2023 04:54
URI: http://editor.journal7sub.com/id/eprint/2151

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