A fuzzy logic optimization methodology for the estimation of the critical flashover voltage on insulators
| Autor: | George J. Tsekouras, F.E. Asimakopoulou, G.E. Asimakopoulou, Ioannis A. Stathopulos, V. T. Kontargyri, Ch. N. Elias |
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| Rok vydání: | 2011 |
| Předmět: |
Engineering
business.industry Fuzzy set Critical voltage Process (computing) Energy Engineering and Power Technology Fuzzy control system Fuzzy logic Flashover voltage Sampling (signal processing) Control theory Electronic engineering Electrical and Electronic Engineering business Membership function |
| Zdroj: | Electric Power Systems Research. 81:580-588 |
| ISSN: | 0378-7796 |
| DOI: | 10.1016/j.epsr.2010.10.024 |
| Popis: | The objective of this paper is to present a new methodology for predicting the critical flashover voltage of polluted insulators based on fuzzy logic. The prediction contains not only the estimated value, but also the respective confidence interval based on the re-sampling method. Various parameters, such as the number and the base width of the triangular membership functions used for the fuzzification process, etc., are assigned different values in order to optimize the estimation of the critical flashover voltage. Additionally, different methods for training the fuzzy system are applied and compared for their appropriateness in accurately predicting the critical flashover voltage. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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