Entropy-Based Feature Extraction for Electromagnetic Discharges Classification in High-Voltage Power Generation

This work exploits four entropy measures known as Sample, Permutation, Weighted Permutation, and Dispersion Entropy to extract relevant information from Electromagnetic Interference (EMI) discharge signals that are useful in fault diagnosis of High-Voltage (HV) equipment. Multi-class classification...

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Detalles Bibliográficos
Autores principales: Mitiche, Imene, Morison, Gordon, Nesbitt, Alan, Stewart, Brian G., Boreham, Philip
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513074/
https://www.ncbi.nlm.nih.gov/pubmed/33265638
http://dx.doi.org/10.3390/e20080549

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513074/
https://www.ncbi.nlm.nih.gov/pubmed/33265638
http://dx.doi.org/10.3390/e20080549

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