New Method of Diagnosis and New Knowledge Acquirement for Fault Diagnosis Expert System of High Voltage Circuit Breaker

Abstract:

In this paper, an improved algorithm of general radial basis (RBF) function neural network is introduced, based on improved algorithm, the neural network realized quickly fault diagnosis and self-update of neural network structure, and the neural network is applied to the on-line fault diagnosis expert system. The expert system deals with the fault data that send from on-line monitoring equipment by using neural network, and it can discover the fault type and give reasonable solution by forward reasoning. Meanwhile, the expert system has the ability of achieving new knowledge based on the application of self-update ability of RBF neural network.

• Periodical: Advanced Materials Research (Volumes 466-467)
• Pages: 1413-1417
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.466-467.1413
• Online since: February 2012
• Authors: Yong Mei Yang, Nai Quan Sun, Hong Ke Xu
• Keywords: Expert System, Fault Diagnosis, High-Voltage Circuit Breakers (HVCBs), Neural Network (NN)

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