A Novel Feature Extraction Method for Soft Faults in Nonlinear Analog Circuits Based on LMD-GFD and KPCA

A Novel Feature Extraction Method for Soft Faults in Nonlinear Analog Circuits Based on LMD-GFD and KPCA

To obtain feature information of soft faults in non-linear analog circuits in a more effective way, this paper proposed a novel feature extraction method for soft faults in non-linear analog circuits based on Local Mean Decomposition-Generalized Fractal Dimension (LMD-GFD) and Kernel Principal Compo...

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Bibliographic Details
Main Authors: Xinmiao Lu*, Jiaxu Wang, Qiong Wu, Yuhan Wei, Yanwen Su
Format: Article
Language:English
Published: Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2021-01-01
Series:Tehnički Vjesnik
Subjects:
Fault Feature Extraction
Generalized Fractal Dimension (GFD)
Kernel Principal Component Analysis (KPCA)
Local Mean Decomposition (LMD)
Nonlinear Analog Circuit
Online Access:https://hrcak.srce.hr/file/385034

Internet

https://hrcak.srce.hr/file/385034

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