Cargando…
Analog Circuit Fault Diagnosis via Joint Cross-Wavelet Singular Entropy and Parametric t-SNE
In this paper, a novel method with cross-wavelet singular entropy (XWSE)-based feature extractor and support vector machine (SVM) is proposed for analog circuit fault diagnosis. Primarily, cross-wavelet transform (XWT), which possesses a good capability to restrain the environment noise, is applied...
Autores principales: | He, Wei, He, Yigang, Li, Bing, Zhang, Chaolong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513130/ https://www.ncbi.nlm.nih.gov/pubmed/33265693 http://dx.doi.org/10.3390/e20080604 |
Ejemplares similares
-
Fault Diagnosis for Analog Circuits by Using EEMD, Relative Entropy, and ELM
por: Xiong, Jian, et al.
Publicado: (2016) -
Fault Diagnosis for Micro-Gas Turbine Engine Sensors via Wavelet Entropy
por: Yu, Bing, et al.
Publicado: (2011) -
Fault diagnosis of analog integrated circuits
por: Kabisatpathy, Prithviraj
Publicado: (2005) -
Conditional t-SNE: more informative t-SNE embeddings
por: Kang, Bo, et al.
Publicado: (2020) -
Exploring Chemical Reaction Space with Reaction Difference
Fingerprints and Parametric t-SNE
por: Andronov, Mikhail, et al.
Publicado: (2021)