Trafo Yaşlanmasında Duyulabilir Gürültü Seviyesinin Yapay Sinir Ağları ile Tahmini
Erzincan University Journal of Science and Technology , cilt.19, sa.1, ss.315-330, 2026 (TRDizin)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 19 Sayı: 1
- Basım Tarihi: 2026
- Doi Numarası: 10.18185/erzifbed.1635504
- Dergi Adı: Erzincan University Journal of Science and Technology
- Derginin Tarandığı İndeksler: TR DİZİN (ULAKBİM)
- Sayfa Sayıları: ss.315-330
- İstanbul Üniversitesi-Cerrahpaşa Adresli: Evet
Özet
In this study, the noises, temperatures and loads of 8 transformers in Istanbul İkitelli Organized Industrial Zone, as well as ambient conditions, were monitored at different moments over a period of 4 months and their data were recorded. It has been observed that the noise levels give different results according to the changing environmental conditions. The received data were determined as inputs and desired targets in MATLAB environment. The data were modeled with feed forward artificial neural network and recurrent artificial neural network types and different training percentages. The estimation results closest to the target were tried to be obtained. As a result of the study, it was seen that the recurrent neural network model was better and it gave better results when the training percentage needed for the network kept high.