A Neural Fuzzy Approach to Modeling the Top Oil Temperature of Power Transformer
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Nguyen, Huy Huynh, Shi, Juan and Reznik, Leon (2002) A Neural Fuzzy Approach to Modeling the Top Oil Temperature of Power Transformer. In: MS'02 : Proceedings of the Fourth International Conference on Modelling and Simulation : 11-13 November, 2002, Melbourne, Australia. Zayegh, Aladin, ed. Victoria University, Melbourne, pp. 27-31.
Abstract
This paper presents an application of a new system modeling algorithm using neural fuzzy technique. The model is intended to forecast power transformer temperature characteristics in order to predict its behaviour. The forecast accuracy is compared with the IEEE and Massachusetts Institute of Technology (MIT) models. The real data from an 8000kVA power tranformer have been used for training and testing the models. Results show that the intelligent neural fuzzy model has achieved a better prediction against the IEEE and MIT models.
| Item type | Book Section |
| URI | https://vuir.vu.edu.au/id/eprint/25383 |
| ISBN | 1862726175 |
| Subjects | Historical > FOR Classification > 0906 Electrical and Electronic Engineering Current > Division/Research > Other |
| Keywords | fuzzy logic, neural networks, neural fuzzy modelling, power tranformers |
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