Intelligent Fault Diagnosis of HVCB with Feature Space Optimization-Based Random Forest

Mechanical faults of high-voltage circuit breakers (HVCBs) always happen over long-term operation, so extracting the fault features and identifying the fault type have become a key issue for ensuring the security and reliability of power supply. Based on wavelet packet decomposition technology and r...

Descripción completa

Detalles Bibliográficos
Autores principales: Ma, Suliang, Chen, Mingxuan, Wu, Jianwen, Wang, Yuhao, Jia, Bowen, Jiang, Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948935/
https://www.ncbi.nlm.nih.gov/pubmed/29659548
http://dx.doi.org/10.3390/s18041221

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948935/
https://www.ncbi.nlm.nih.gov/pubmed/29659548
http://dx.doi.org/10.3390/s18041221

Ejemplares similares