A neural network framework for predicting transformer core losses

2003 ◽  
Author(s):  
P.S. Georgilakis ◽  
N.D. Hatziargyriou ◽  
A.D. Doulamis ◽  
N.D. Doulamis ◽  
S.D. Kollias
Keyword(s):  
Neural Network ◽  
Core Losses ◽  
Transformer Core

Transformer core losses

1986 ◽  
Vol 32 (5) ◽  
pp. 365 ◽  
Author(s):  
Brian Richardson
Keyword(s):  
Core Losses ◽  
Transformer Core

scholarly journals Core looseness fault identification model based on Mel spectrogram-CNN

2021 ◽  
Vol 2137 (1) ◽  
pp. 012060
Author(s):  
Ping He ◽  
Yong Li ◽  
Shoulong Chen ◽  
Hoghua Xu ◽  
Lei Zhu ◽  
...  
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Convolution Neural Network ◽  
Data Sets ◽  
Data Set ◽  
Recognition Model ◽  
Model Based ◽  
Fault Recognition ◽  
Transformer Core ◽  
Identification Model

Abstract In order to realize transformer voiceprint recognition, a transformer voiceprint recognition model based on Mel spectrum convolution neural network is proposed. Firstly, the transformer core looseness fault is simulated by setting different preloads, and the sound signals under different preloads are collected; Secondly, the sound signal is converted into a spectrogram that can be trained by convolutional neural network, and then the dimension is reduced by Mel filter bank to draw Mel spectrogram, which can generate spectrogram data sets under different preloads in batch; Finally, the data set is introduced into convolutional neural network for training, and the transformer voiceprint fault recognition model is obtained. The results show that the training accuracy of the proposed Mel spectrum convolution neural network transformer identification model is 99.91%, which can well identify the core loosening faults.

scholarly journals A medium frequency transformer design for spot welding machine using sizing equation and finite element analysis

2020 ◽  
Vol 40 (3) ◽  
pp. 42-51
Author(s):  
Serdal Arslan ◽  
İlhan Tarimer ◽  
M.E. Güven ◽  
Sibel Akkaya Oy
Keyword(s):  
Working Conditions ◽  
Spot Welding ◽  
Power Transformer ◽  
Medium Frequency ◽  
Element Analysis ◽  
Axial Forces ◽  
Core Losses ◽  
Transformer Design ◽  
Transformer Core ◽  
Frequency Power

In this study, a medium frequency power transformer has been designed analytically and its sizes have been obtained. The transformer’s analyses were made numerically by 2D AnsysMaxwell Solver software package. The Solver has also helped to study suitable transformer core and winding samples. Unlike medium frequency transformer, which is generally driven by unipolar PWM method, the designed transformer is driven by bipolar PWM method in the study. The core losses were obtained for different core materials (Trafoperm N3 and Amorfous 2605SA1) by AnsysMaxwell numerical and analytical calculations. The calculated losses for no-load working conditions were compared with each other. The designed transformer has been analyzed for its noload and loaded working conditions magnetically. Finally, the radial and axial forces created in the windings have also been examined for loaded working condition.

Investigating Ferroresonance Phenomenon in a Single-Phase Transformer with the Effect of Magnetic Hysteresis

2016 ◽  
Vol 2 (2) ◽  
pp. 248 ◽  
Author(s):  
Behrooz Rezaeealam ◽  
Behzad Norouzi
Keyword(s):  
Hysteresis Loop ◽  
Single Phase ◽  
Magnetic Hysteresis ◽  
Electrical Power ◽  
The Finite Element Method ◽  
The Core ◽  
Core Losses ◽  
Two Space Dimensions ◽  
Materials Used ◽  
Transformer Core

<p>Ferroresonance is a non-linear phenomenon and very dynamic in the power quality problems. This phenomenon should be carefully analyzed so that preventive measures could be taken before its appearance and prevent injury and damage to electrical power appliances. Ferroresonance is seen more in the middle-voltage networks with supplying unloaded or slightly loaded transformers by cables. The materials used in the manufacture of transformer cores are creates a major role in their dynamic behavior. In this article are used from two types magnetic material GOES and NGOES in the transformer core of single phase. The physical behavior of these materials is considered during the core hysteresis. For modeling the hysteresis loop has been used from Jiles-Atherton method. By using the finite element method and with help COMSOL Multiphysics Software, transformer is simulated in two space dimensions. Laboratory test the transformer core hysteresis loop is described and shows which the Jiles-Atherton model is one of the best known models of hysteresis. The results shows which use of GOES materials in the transformer core is cause Significant reduction the core losses in comparison with the NGOES materials. Also change of ferroresonance mode and the severity its occurrence are the results of changing the material used in the transformer core.</p>

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