2020/09/03 · The aim of this study is to develop a model based on Artificial Neural Networks (ANN) theory to be able to forecast the temperature in seven points.
It is important to forecast the hot spots in the transformer. The aim of this study is to develop a model based on Artificial Neural Networks (ANN) theory to be ...
The aim of this study is to develop a model based on Artificial Neural Networks (ANN) theory to be able to forecast the temperature in seven points, taking into ...
The aim of this study is to develop a model based on Artificial Neural Networks (ANN) theory to be able to forecast the temperature in seven points, taking into ...
It is important to forecast the hot spots in the transformer. The aim of this study is to develop a model based on Artificial Neural Networks (ANN) theory to be ...
Bibliographic details on Hot-Spot Temperature Forecasting of the Instrument Transformer Using an Artificial Neural Network.
... In [16] , the authors proposed a method to forecast the temperature of hot spots in oil-immersed transformer windings; it includes an ANN with only one ...
This work proposes a grey-box model that can be used for online estimation and forecasting of the transformer temperature.
関連する質問
How is the hot spot temperature of a transformer calculated?
What is the hot spot temperature?
A method of optimized neural network by L-M algorithm to transformer ...
iopscience.iop.org › article
A method of optimized neural network by L-M algorithm to transformer winding hot spot temperature forecasting, B G Wei, X Y Wu, Z F Yao, H Huang.
2024/02/13 · The paper presents an adaptive neuro fuzzy model to approximate the hot spot temperature of a mineral oil-filled power transformer based on ...