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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Li Yanming Liu Gang Chen Xiyang Xing Yan |
| Copyright Year | 2007 |
| Description | Author affiliation: South China Univ. of Technol., Guangzhou (Li Yanming; Liu Gang) |
| Abstract | According to the statistics, the faults of power system caused by pollution flashover are the most familiar kind of transmission net faults. As a result, it's very important to avoid pollution flashover. If the amount of the dirt can be forecasted right, the just in time maintenance can be taken. As a result, the cost can be cut down greatly and the effect can be better than to clean up regularly. During the research, the testing insulators are hanged on the pylons in typical areas. The equivalent salty deposit density (ESDD) of these insulators surfaces are measured regularly. At the same time, the weather data of these areas are gathered. To forecast the condition of pollution, a neural network which uses ESDD as outputs is established. By training the network with gathered data, the regular pattern of pollution is simulated. The result of this research can be used in field, and can initiate just in time maintenance. |
| Starting Page | 346 |
| Ending Page | 348 |
| File Size | 199319 |
| Page Count | 3 |
| File Format | |
| ISBN | 9781424414819 |
| DOI | 10.1109/CEIDP.2007.4451588 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-10-14 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Insulation Neural networks Pollution Flashover Weather forecasting Statistics Power system faults Costs Insulator testing Poles and towers |
| Content Type | Text |
| Resource Type | Article |
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