Intelligent Sensors for dc Fault Location Scheme Based on Optimized Intelligent Architecture for HVdc Systems

We develop a probabilistic model for determining the location of dc-link faults in MT-HVdc networks using discrete wavelet transforms (DWTs), Bayesian optimization, and multilayer artificial neural networks (ANNs) based on local information. Likewise, feedforward neural networks (FFNNs) are trained...

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Detalles Bibliográficos
Autores principales: Yousaf, Muhammad Zain, Tahir, Muhammad Faizan, Raza, Ali, Khan, Muhammad Ahmad, Badshah, Fazal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780844/
https://www.ncbi.nlm.nih.gov/pubmed/36560301
http://dx.doi.org/10.3390/s22249936

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780844/
https://www.ncbi.nlm.nih.gov/pubmed/36560301
http://dx.doi.org/10.3390/s22249936

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