Application of DBN and GWO-SVM in analog circuit fault diagnosis
Abstract For large-scale integrated electronic equipment, the complex operating mechanisms make fault detection very difficult. Therefore, it is important to accurately identify analog circuit faults in a timely manner. To overcome this problem, this paper proposes a novel fault diagnosis method bas...
Guardado en:
Autores principales: | Xiyuan Su, Changqing Cao, Xiaodong Zeng, Zhejun Feng, Jingshi Shen, Xu Yan, Zengyan Wu |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/4e79eb9c81fb4c2db031d314a3bc1c38 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Application of GWO-SVM Algorithm in Arc Detection of Pantograph
por: Bin Li, et al.
Publicado: (2020) -
Analog Circuit Soft Fault Diagnosis Based on Sparse Random Projections and K-Nearest Neighbor
por: Jian Sun, et al.
Publicado: (2021) -
Fault Diagnosis of Rolling Bearing Based on Probability box Theory and GA-SVM
por: Hong Tang, et al.
Publicado: (2020) -
Statistical Feature Extraction Combined with Generalized Discriminant Component Analysis Driven SVM for Fault Diagnosis of HVDC GIS
por: Ruixu Zhou, et al.
Publicado: (2021) -
A Novel Feature Extraction Method for Soft Faults in Nonlinear Analog Circuits Based on LMD-GFD and KPCA
por: Xinmiao Lu*, et al.
Publicado: (2021)