Add to ORKGThis 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
This paper focuses on the thermal modelling of power transformers using physics-informed neural netw...
The top oil temperature for transformer has a great influence on transformer’s operational life and ...
Studies by various authors have shown that the IEEE Transformer Loading Guide model and the modified...
This paper presents an application of a new system modeling algorithm using neural fuzzy technique. ...
This thesis presents an investigation and a comparative study of four different approaches namely AN...
Abstract: In this paper, several simple Multilayer Feed-forward network structures for transformer t...
Inordinate temperature rise in a power transformer due to load current is known to be the most impor...
Inordinate temperature rise in a power transformer due to load current is known to be the most impor...
Introduction. One of the parameters that determine the state of the insulation of power transformers...
This paper introduces approaches for power transformer thermal modeling based on two conceptually di...
The winding hot-spot temperature is one of the most critical parameters that affect the useful life ...
On-line monitoring of electric power transformers can provide a clear indication of their status and...
Improvement of the utilisation factors of mineral-oil-filled power transformers is of critical impo...
In order to forecast the transformer top-oil temperature accurately, quickly and efficiently, the pa...
The improving of the utilization factors of mineral-oil-filled power transformers is of critical imp...
This paper focuses on the thermal modelling of power transformers using physics-informed neural netw...
The top oil temperature for transformer has a great influence on transformer’s operational life and ...
Studies by various authors have shown that the IEEE Transformer Loading Guide model and the modified...
This paper presents an application of a new system modeling algorithm using neural fuzzy technique. ...
This thesis presents an investigation and a comparative study of four different approaches namely AN...
Abstract: In this paper, several simple Multilayer Feed-forward network structures for transformer t...
Inordinate temperature rise in a power transformer due to load current is known to be the most impor...
Inordinate temperature rise in a power transformer due to load current is known to be the most impor...
Introduction. One of the parameters that determine the state of the insulation of power transformers...
This paper introduces approaches for power transformer thermal modeling based on two conceptually di...
The winding hot-spot temperature is one of the most critical parameters that affect the useful life ...
On-line monitoring of electric power transformers can provide a clear indication of their status and...
Improvement of the utilisation factors of mineral-oil-filled power transformers is of critical impo...
In order to forecast the transformer top-oil temperature accurately, quickly and efficiently, the pa...
The improving of the utilization factors of mineral-oil-filled power transformers is of critical imp...
This paper focuses on the thermal modelling of power transformers using physics-informed neural netw...
The top oil temperature for transformer has a great influence on transformer’s operational life and ...
Studies by various authors have shown that the IEEE Transformer Loading Guide model and the modified...