Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 5-8 |
| Number of pages | 4 |
| Journal | Dianli Zidonghua Shebei/Electric Power Automation Equipment |
| Volume | 27 |
| Issue number | 1 |
| State | Published - Jan 2007 |
Keywords
- Fuzzy logic
- Neural network
- On-line monitoring
- Variation tendency
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