Insulation status estimation for high voltage electric equipment based on fuzzy neural network

被引：0

作者：

Sun, He-Yi ^{[1
]}

Pu, Zhao-Bang ^{[1
]}

Zhao, Xue-Zeng ^{[2
]}

机构：

[1] School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China

[2] School of Mechatronical Engineering, Harbin Institute of Technology, Harbin 150001, China

来源：

Dianli Zidonghua Shebei / Electric Power Automation Equipment | 2007年 / 27卷 / 01期

关键词：

Fuzzy logic - Fuzzy neural networks - Insulation - Mathematical models - Membership functions - Monitoring - Reliability - Repair;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

The fuzzy logic-neural network is used to analyze the tendency of insulation parameter change of HV (High Voltage) electric equipment. Using the membership function to describe the variation tendency based on the real time and historic data obtained by on-line monitoring, the corresponding mathematic model is built. The insulation status is classified into 'normal', 'observe' and 'repair' for estimation system based on fuzzy neural network and the parameter change into 'down', 'smooth' and 'up' for getting estimation rules. It can be applied in on-line insulation status monitoring system for HV electric equipment with the veracity and reliability ensured.

引用

页码：5 / 8

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