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Reseach Article

On the Design of Intelligent Virtual Instrument for Fault Diagnosis in Mixed Signal Analog Circuit

by Ashwani Kumar, A. P. Singh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 73 - Number 16
Year of Publication: 2013
Authors: Ashwani Kumar, A. P. Singh
10.5120/12822-9875

Ashwani Kumar, A. P. Singh . On the Design of Intelligent Virtual Instrument for Fault Diagnosis in Mixed Signal Analog Circuit. International Journal of Computer Applications. 73, 16 ( July 2013), 1-7. DOI=10.5120/12822-9875

@article{ 10.5120/12822-9875,
author = { Ashwani Kumar, A. P. Singh },
title = { On the Design of Intelligent Virtual Instrument for Fault Diagnosis in Mixed Signal Analog Circuit },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 73 },
number = { 16 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume73/number16/12822-9875/ },
doi = { 10.5120/12822-9875 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:40:14.044273+05:30
%A Ashwani Kumar
%A A. P. Singh
%T On the Design of Intelligent Virtual Instrument for Fault Diagnosis in Mixed Signal Analog Circuit
%J International Journal of Computer Applications
%@ 0975-8887
%V 73
%N 16
%P 1-7
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Testing of analog and mixed signal circuit has often given bottleneck in the system design. Studies based on the simulation results have been presented by many authors. In this study an intelligent virtual instrument system design for the diagnosis of parametric faults in mixed signal analog circuit is presented. A benchmark R2R digital to analog converter mixed signal circuit is used for fault diagnosis in the study. The impact of circuit component parameter variations on the behavior of a circuit is analyzed by Monte-Carlo analysis. The optimum numbers of test patterns required for fault diagnosis are decided by sensitivity analysis. Finally the fuzzy logic is used for the classification of the faults. Along with fault classification, fuzzy classifier also gives the estimated value of the component faults. The virtual instrument not only displays the diagnosis result but acts as a standalone diagnosis system. The experimental results of the fault diagnosis are presented by both simulated data and the real time data.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Mixed signal circuit Sensitivity analysis Monte-Carlo analysis fuzzy logic Virtual instrument