Cargando…
Classification of abnormal location in medium voltage switchgears using hybrid gravitational search algorithm-artificial intelligence
In power system networks, automatic fault diagnosis techniques of switchgears with high accuracy and less time consuming are important. In this work, classification of abnormal location in switchgears is proposed using hybrid gravitational search algorithm (GSA)-artificial intelligence (AI) techniqu...
Autores principales: | Illias, Hazlee Azil, Lim, Ming Ming, Abu Bakar, Ab Halim, Mokhlis, Hazlie, Ishak, Sanuri, Amir, Mohd Dzaki Mohd |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8248718/ https://www.ncbi.nlm.nih.gov/pubmed/34197530 http://dx.doi.org/10.1371/journal.pone.0253967 |
Ejemplares similares
-
Transformer Incipient Fault Prediction Using Combined Artificial Neural Network and Various Particle Swarm Optimisation Techniques
por: Illias, Hazlee Azil, et al.
Publicado: (2015) -
Classification of Partial Discharge Measured under Different Levels of Noise Contamination
por: Jee Keen Raymond, Wong, et al.
Publicado: (2017) -
Optimized artificial neural network to improve the accuracy of estimated fault impedances and distances for underground distribution system
por: Naidu, Kanendra, et al.
Publicado: (2020) -
Identification of transformer fault based on dissolved gas analysis using hybrid support vector machine-modified evolutionary particle swarm optimisation
por: Illias, Hazlee Azil, et al.
Publicado: (2018) -
Optimal Placement of Unified Power Flow Controllers to Improve Dynamic Voltage Stability Using Power System Variable Based Voltage Stability Indices
por: Albatsh, Fadi M., et al.
Publicado: (2015)