Path: Top -> Journal -> Telkomnika -> 2020 -> Vol 18, No 1, February

Analog circuit fault diagnosis via FOA-LSSVM

Journal from gdlhub / 2020-12-04 10:23:11
Oleh : Yu Wenxin, Telkomnika
Dibuat : 2020-12-04, dengan 1 file

Keyword : analog circuit; FOA; LSSVM
Url : http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/9627
Sumber pengambilan dokumen : WEB

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.

Deskripsi Alternatif :

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.


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PropertiNilai Properti
ID Publishergdlhub
OrganisasiTelkomnika
Nama KontakHerti Yani, S.Kom
AlamatJln. Jenderal Sudirman
KotaJambi
DaerahJambi
NegaraIndonesia
Telepon0741-35095
Fax0741-35093
E-mail Administratorelibrarystikom@gmail.com
E-mail CKOelibrarystikom@gmail.com

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