<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The aim of this paper is to introduce a strategy to find a minimal set of test nodes for diagnostics of complex analog systems with single parametric faults using the support vector machine (SVM) classifier as a fault locator. The results of diagnostics of a video amplifier and a low-pass filter using tabu search along with genetic algorithms (GAs) as node selectors in conjunction with the SVM fault classifier are presented. General principles of the diagnostic procedure are first introduced, and then the proposed approach is discussed in detail. Diagnostic results confirm the usefulness of the method and its computational requirements. Conclusions on its wider applicability are provided as well.</p></abstract>

The aim of this paper is to introduce a strategy to find a minimal set of test nodes for diagnostics of complex analog systems with single parametric faults using the support vector machine (SVM) classifier as a fault locator. The results of diagnostics of a video amplifier and a low-pass filter using tabu search along with genetic algorithms (GAs) as node selectors in conjunction with the SVM fault classifier are presented. General principles of the diagnostic procedure are first introduced, and then the proposed approach is discussed in detail. Diagnostic results confirm the usefulness of the method and its computational requirements. Conclusions on its wider applicability are provided as well.

Automatic parametric fault detection in complex analog systems based on a method of minimum node selection

Faculty of Applied Informatics and Mathematics, Warsaw University of Life Sciences—SGGW, ul. Nowoursynowska 159, 02-776 Warsaw,

Institute of Radioelectronics, Warsaw University of Technology, ul. Nowowiejska 15/19, 00-665 Warsaw,

International Journal of Applied Mathematics and Computer Science

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The aim of this paper is to introduce a strategy to find a minimal set of test nodes for diagnostics of complex analog systems with single parametric faults...

Automatic parametric fault detection in complex analog systems based on a method of minimum node selection

Pubblicato online: 29 set 2016

Pagine: 655 - 668

Ricevuto: 24 ott 2014

Accettato: 09 mar 2016

DOI: https://doi.org/10.1515/amcs-2016-0045

Parole chiave
complex analog systems, support vector machine, tabu search, genetic algorithm, parametric fault detection

© 2016 Adrian Bilski et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Automatic parametric fault detection in complex analog systems based on a method of minimum node selection

Pubblicato online: 29 set 2016

Pagine: 655 - 668

Ricevuto: 24 ott 2014

Accettato: 09 mar 2016

DOI: https://doi.org/10.1515/amcs-2016-0045

Parole chiavecomplex analog systems, support vector machine, tabu search, genetic algorithm, parametric fault detection

© 2016 Adrian Bilski et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Parole chiave
complex analog systems, support vector machine, tabu search, genetic algorithm, parametric fault detection