Engineering Sciences

Engineering Sciences

ENERJİ İLETİM HATLARINDA MODÜLER YSA VE ADD YLE HIZLI ARIZA TESPİTİ

Yazarlar: Ömer Faruk ERTUGRUL, M. Bahattin KURT

Cilt 6 , Sayı 1 , 2011 , Sayfalar 77 - 87

Konular:-

DOI:10.12739/nwsaes.v6i1.5000067010

Anahtar Kelimeler:Power Transmission Lines,Real Fault Data,Discreete Wavelet,Modular Probabilistic Neural Network,Modular

Özet: Fastly isolating faulted power transmission lines has a big importance for transmission system security. Real fault datas is used for detecting fault fastly and accurately. At this work; first of all the real faulted datas filtered by designed fitler than the wavelet energy of filtered data is used by modular probabilistic neural network for analyzing the fault. Four different probabilistic neural network module, Sorting Function and Statistic Function is used for fast accurate detecting fault and fault type. The results of developed method compared with prior studies is successful although just a single-period of real fault signal is used at.

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@article{2011, title={ENERJİ İLETİM HATLARINDA MODÜLER YSA VE ADD YLE HIZLI ARIZA TESPİTİ}, volume={6}, number={77–87}, publisher={Engineering Sciences}, author={Ömer Faruk ERTUGRUL,M. Bahattin KURT}, year={2011} }
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Ömer Faruk ERTUGRUL,M. Bahattin KURT. (2011). ENERJİ İLETİM HATLARINDA MODÜLER YSA VE ADD YLE HIZLI ARIZA TESPİTİ (Vol. 6). Vol. 6. Engineering Sciences.
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Ömer Faruk ERTUGRUL,M. Bahattin KURT. ENERJİ İLETİM HATLARINDA MODÜLER YSA VE ADD YLE HIZLI ARIZA TESPİTİ. no. 77–87, Engineering Sciences, 2011.
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