Analog Circuit Fault Diagnosis Based on Support Vector Machine Classifier and Fuzzy Feature Selection

Analog Circuit Fault Diagnosis Based on Support Vector Machine Classifier and Fuzzy Feature Selection

In analog circuit, the component parameters have tolerances and the fault component parameters present a wide distribution, which brings obstacle to classification diagnosis. To tackle this problem, this article proposes a soft fault diagnosis method combining the improved barnacles mating optimizer...

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Bibliographic Details
Main Authors: Hao Liang, Yiman Zhu, Dongyang Zhang, Le Chang, Yuming Lu, Xingfa Zhao, Yu Guo
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Electronics
Subjects:
circuit fault diagnosis
support vector machine
barnacles mating optimizer
fuzzy mutual information
minimum redundancy maximum relevance
Online Access:https://www.mdpi.com/2079-9292/10/12/1496

Internet

https://www.mdpi.com/2079-9292/10/12/1496

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