Fault Diagnosis System of 10 kV Vacuum Circuit Switchgear Based on RBF Neural Network
Abstract:Introduces a diagnosis model of RBF neural network and extracts current signal reflecting fault information of 10 kV vacuum switehgear within different current signal, generatrix temperature signal bus and cable connector temperature, which are used to train the neural network. The simulation results show that the system is effective and accurate, and can be popularized.
Keywords:RBF neural network10 kV vacuum switchgearfault diagnosissimulation
Publication Date:2012-01-01
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:5( 62-66 )
Colliery Mechanical & Electrical Technology

Colliery Mechanical & Electrical Technology

ISSN:1001-0874
Year, Vol.(Issue):2012,(1)