<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In order to improve the correct rate of analog circuit fault diagnosis, a method based on SVM optimized with BQPSO is put forward. Firstly, BQPSO algorithm and its steps are presented; Then the performance impact factors of SVM are analyzed, and the steps of SVM parameters optimized with BQPSO are given; Finally, a filter circuit is taken as an example to simulate. The result shows that this method is effective.</p>
</abstract>

In order to improve the correct rate of analog circuit fault diagnosis, a method based on SVM optimized with BQPSO is put forward. Firstly, BQPSO algorithm and its steps are presented; Then the performance impact factors of SVM are analyzed, and the steps of SVM parameters optimized with BQPSO are given; Finally, a filter circuit is taken as an example to simulate. The result shows that this method is effective.

An Analog Circuit Fault Diagnosis Method Based on SVM Optimized with BQPSO

International Journal of Advanced Network, Monitoring and Controls

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"An Analog Circuit Fault Diagnosis Method Based on SVM Optimized with BQPSO"}

In order to improve the correct rate of analog circuit fault diagnosis, a method based on SVM optimized with BQPSO is put forward. Firstly, BQPSO algorithm and...

An Analog Circuit Fault Diagnosis Method Based on SVM Optimized with BQPSO

Online veröffentlicht: 02. Apr. 2018

Seitenbereich: 53 - 58

DOI: https://doi.org/10.21307/mcei-16.2016.241

Schlüsselwörter
BQPSO, SVM, analog circuit fault diagnosis

© 2016 Wang Zhongsheng et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

An Analog Circuit Fault Diagnosis Method Based on SVM Optimized with BQPSO

Online veröffentlicht: 02. Apr. 2018

Seitenbereich: 53 - 58

DOI: https://doi.org/10.21307/mcei-16.2016.241

SchlüsselwörterBQPSO, SVM, analog circuit fault diagnosis

© 2016 Wang Zhongsheng et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
BQPSO, SVM, analog circuit fault diagnosis