Power Transformer Fault Diagnosis Based on DGA Using a Convolutional Neural Network With Noise in Measurements
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3102415
Abstract: Fault type diagnosis is a very important tool to maintain the continuity of power transformer operation. Dissolved gas analysis (DGA) is one of the most effective and widely used techniques for predicting the power transformer… read more here.
Keywords: transformer fault; power transformer; model; noise ... See more keywords
A Power Transformer Fault Diagnosis Method Based on Random Vector Functional-Link Neural Network
Sign Up to like & getrecommendations! Published in 2021 at "Mathematical Problems in Engineering"
DOI: 10.1155/2021/6656061
Abstract: The random vector functional link (RVFL) network is suitable for solving nonlinear problems from transformer fault symptoms and different fault types due to its simple structure and strong generalization ability. However, the RVFL network has… read more here.
Keywords: fault; network; number; fault diagnosis ... See more keywords