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...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Xinmiao Lu*, Jiaxu Wang, Qiong Wu, Yuhan Wei, Yanwen Su
Formato: article
Lenguaje:EN
Publicado: Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2021
Materias:
Fault Feature Extraction
Generalized Fractal Dimension (GFD)
Kernel Principal Component Analysis (KPCA)
Local Mean Decomposition (LMD)
Nonlinear Analog Circuit
Engineering (General). Civil engineering (General)
TA1-2040
Acceso en línea:https://doaj.org/article/c6061fe296b94018ac1ff1306c4a71ea
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!

Internet

https://doaj.org/article/c6061fe296b94018ac1ff1306c4a71ea

Ejemplares similares