Fault diagnosis in analog circuits using multiclass Relevance Vector Machine
In this paper the capability of Relevance Vector Machines to perform multiclass classification has been illustrated. It has been demonstrated how faults in an analog circuit can be diagnosed by analyzing these faults as a multiclass machine learning problem. A simple first order Op-amp RC circuit va...
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Published in | 2011 International Conference on Emerging Trends in Electrical and Computer Technology pp. 641 - 643 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.03.2011
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Abstract | In this paper the capability of Relevance Vector Machines to perform multiclass classification has been illustrated. It has been demonstrated how faults in an analog circuit can be diagnosed by analyzing these faults as a multiclass machine learning problem. A simple first order Op-amp RC circuit validates our methodology which can be further applied to more complex analog circuits employing a larger number of electronic components. |
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AbstractList | In this paper the capability of Relevance Vector Machines to perform multiclass classification has been illustrated. It has been demonstrated how faults in an analog circuit can be diagnosed by analyzing these faults as a multiclass machine learning problem. A simple first order Op-amp RC circuit validates our methodology which can be further applied to more complex analog circuits employing a larger number of electronic components. |
Author | Gupta, I Pillai, G N Jain, V |
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Snippet | In this paper the capability of Relevance Vector Machines to perform multiclass classification has been illustrated. It has been demonstrated how faults in an... |
SourceID | ieee |
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StartPage | 641 |
SubjectTerms | Analog circuits Bayesian methods Circuit faults Machine learning Mathematical model Support vector machine classification Testing |
Title | Fault diagnosis in analog circuits using multiclass Relevance Vector Machine |
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