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Fault Diagnosis of Analog Circuits Based on KPCA and SVM

Autor: Yang Li, Hengtong Wang, Chen Delong, Yinjng Guo, Rui Zhang, Pengfei Huan

Publikováno v: 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC).

Aimed at the nonlinear properties of analog circuits features , kernel Principal Component Analysis(KPCA) combined with Support Vector Machine(SVM) based diagnostic method for faults of analog circuit was proposed in this paper. Here, uses KPCA to re

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::116d1d8f5d51f1d87222a9948f2aef08
https://doi.org/10.1109/imcec46724.2019.8983868

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