ANN APPLICATION TO GIS INTERNAL FAULT DETECTION

1998 ◽  
pp. 111-119
Author(s):  
ISAO OKI ◽  
YOSHIOIZUI SEIJIKOBAYASHI
Keyword(s):  
Fault Detection ◽  
Internal Fault ◽  
Ann Application

scholarly journals Online Transformer Internal Fault Detection Based on Instantaneous Voltage and Current Measurements Considering Impact of Harmonics

2017 ◽  
Vol 32 (2) ◽  
pp. 587-598 ◽  
Author(s):  
Ali S. Masoum ◽  
Naser Hashemnia ◽  
A. Abu-Siada ◽  
Mohammad A. S. Masoum ◽  
Syed M. Islam
Keyword(s):  
Fault Detection ◽  
Internal Fault ◽  
Instantaneous Voltage

Experimental Evaluation of Transformer Internal Fault Detection Based on V–I Characteristics

2020 ◽  
Vol 67 (5) ◽  
pp. 4108-4119
Author(s):  
Xiaozhen Zhao ◽  
Chenguo Yao ◽  
Zehong Zhou ◽  
Chengxiang Li ◽  
Xianmin Wang ◽  
...  
Keyword(s):  
Fault Detection ◽  
Experimental Evaluation ◽  
Internal Fault

scholarly journals An Experimental Analysis to Check Accuracy of DGA.....

10.29007/dldg ◽  
2018 ◽  
Author(s):  
Jatinkumar Soni ◽  
Dhaval Suthar
Keyword(s):  
Fault Detection ◽  
Experimental Analysis ◽  
Reliable Method ◽  
Power Transformer ◽  
Dissolved Gas ◽  
Internal Fault ◽  
Triangle Method ◽  
Combustible Gases ◽  
Fault Interpretation

Analysis of Dissolved gas method is very sensitive and reliable method for detection of internal fault in power transformer. One of the most used method for DGA is duval triangle method. Duval triangle is not considering two combustible gases like, ethane so, Duval triangle method has low accuracy for fault interpretation. Then, Duval pentagonal method is used for fault detection in power transformer. In this paper, we have get data for power transformer from Torrent Power Ltd. This experiment has done on various 20 power transformer rating of 15MVA,21kV/400kV. But, In this paper, We have shown six data of fault in case study and found fault by Duval Triangle method and Duval pentagonal method. Then, we will verify this fault interpretation with actual fault. And, we will see that Duval Pentagonal method have higher accuracy (above 80%) for fault interpretation.

scholarly journals Development and Application of an Internal Fault Detection System for Transformer Based on Wall Climbing Robot

2020 ◽  
Vol 22 (2) ◽  
pp. 193-198
Author(s):  
Dong Wang ◽  
Kai Pang ◽  
Wei Wang ◽  
Yang Zhang ◽  
Wei Yao ◽  
...  
Keyword(s):  
Fault Detection ◽  
Detection System ◽  
Climbing Robot ◽  
Internal Fault
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