Prediction Method of Soft Fault and Service Life of DC-DC-Converter Circuit Based on Improved Support Vector Machine

A data-driven prediction method is proposed to predict the soft fault and estimate the service life of a DC–DC-converter circuit. First, based on adaptive online non-bias least-square support-vector machine (AONBLSSVM) and the double-population particle-swarm optimization (DP-PSO), the prediction mo...

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Detalles Bibliográficos
Autores principales: Hou, Yuntao, Wu, Zequan, Cai, Xiaohua, Dong, Zhongge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947525/
https://www.ncbi.nlm.nih.gov/pubmed/35327913
http://dx.doi.org/10.3390/e24030402

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947525/
https://www.ncbi.nlm.nih.gov/pubmed/35327913
http://dx.doi.org/10.3390/e24030402

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