Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)

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

Authors
Zhongsheng Wang, Sen Yang, Shujuan Huang
Corresponding Author
Zhongsheng Wang
Available Online December 2016.
DOI
https://doi.org/10.2991/mcei-16.2016.241How to use a DOI?
Keywords
BQPSO; SVM; Analog circuit fault diagnosis
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.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
Series
Advances in Intelligent Systems Research
Publication Date
December 2016
ISBN
978-94-6252-282-4
ISSN
1951-6851
DOI
https://doi.org/10.2991/mcei-16.2016.241How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zhongsheng Wang
AU  - Sen Yang
AU  - Shujuan Huang
PY  - 2016/12
DA  - 2016/12
TI  - An Analog Circuit Fault Diagnosis Method Based on SVM Optimized with BQPSO
BT  - Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
PB  - Atlantis Press
SP  - 1167
EP  - 1172
SN  - 1951-6851
UR  - https://doi.org/10.2991/mcei-16.2016.241
DO  - https://doi.org/10.2991/mcei-16.2016.241
ID  - Wang2016/12
ER  -