TELKOMNIKA Telecommunication, Computing, Electronics and Control
Analog circuit fault diagnosis via FOA-LSSVM
Dublin Core
Title
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Analog circuit fault diagnosis via FOA-LSSVM
Analog circuit fault diagnosis via FOA-LSSVM
Subject
Analog circuit, FOA, LSSVM
Description
At present, the research on fault detection and diagnosis technology is
very significant to improve the reliability of the equipment, which can
greatly improve the safety and efficiency of the equipment. This paper
proposes a new fault detection and diagnosis means based on the FOA-LSSVM algorithm. Experimental results demonstrate that the algorithm is effective for the detection and diagnosis of analog circuit faults. In addition, the model also demonstrate good generalization ability.
very significant to improve the reliability of the equipment, which can
greatly improve the safety and efficiency of the equipment. This paper
proposes a new fault detection and diagnosis means based on the FOA-LSSVM algorithm. Experimental results demonstrate that the algorithm is effective for the detection and diagnosis of analog circuit faults. In addition, the model also demonstrate good generalization ability.
Creator
Yu Wenxin
Source
DOI: 10.12928/TELKOMNIKA.v18i1.9627
Publisher
Universitas Ahmad Dahlan
Date
February 2020
Contributor
Sri Wahyuni
Rights
ISSN: 1693-6930
Relation
http://journal.uad.ac.id/index.php/TELKOMNIKA
Format
PDF
Language
English
Type
Text
Coverage
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Files
Collection
Citation
Yu Wenxin, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
Analog circuit fault diagnosis via FOA-LSSVM,” Repository Horizon University Indonesia, accessed November 22, 2024, https://repository.horizon.ac.id/items/show/3633.
Analog circuit fault diagnosis via FOA-LSSVM,” Repository Horizon University Indonesia, accessed November 22, 2024, https://repository.horizon.ac.id/items/show/3633.