Frequency domain characteristics and insulation condition evaluation of power transformer oil-paper insulation

Author(s):  
Ming-jie Tang ◽  
Min Lei ◽  
Hao Xu ◽  
Yun-cai Lu ◽  
Xu Wei ◽  
...  
Energies ◽  
2017 ◽  
Vol 10 (8) ◽  
pp. 1195 ◽  
Author(s):  
Guoqiang Xia ◽  
Guangning Wu ◽  
Bo Gao ◽  
Haojie Yin ◽  
Feibao Yang

Author(s):  
Suwarno ◽  
Rahman A. Prasojo

Oil immersed paper insulation condition is a crucial aspect of power transformer’s life condition diagnostic. The measurement testing database collected over the years made it possible for researchers to implement classification analysis to in-service power transformer. This article presents classification analysis of transformer oil-immersed paper insulation condition. The measurements data (dielectric characteristics, dissolved gas analysis, and furanic compounds) of 149 transformers with primary voltage of 150 kV had been gathered and analyzed. The algorithm used for developing classification model is Support Vector Machine (SVM). The model has been trained and tested using different datasets. Different models have been created and the best chosen, resulting in 90.63% accuracy in predicting the oil-immersed paper insulation condition. Further implementation was executed to classify oil-paper condition of 19 Transformers which Furan data is not available. The classification results combined, reviewed, and compared to conventional assessment methods and standards, confirming that the model developed has the ability to do classification of current oil-paper condition based on Dissolved Gasses and Dielectric Characteristics.


2014 ◽  
Vol 30 (3) ◽  
pp. 19-26 ◽  
Author(s):  
Nick Lelekakis ◽  
Jaury Wijaya ◽  
Daniel Martin ◽  
Dejan Susa

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