Intelligent Localization of Transformer Internal Degradations Combining Deep Convolutional Neural Networks and Image Segmentation

Intelligent Localization of Transformer Internal Degradations Combining Deep Convolutional Neural Networks and Image Segmentation

Industrial 4.0 placed higher demands on the field of intelligent equipment monitoring. The transformer is one of the critical power devices, its intelligent monitoring and fault positioning require in-depth studies. In this study, an efficient fault localization method for transformer internal therm...

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Bibliographic Details
Main Authors: Jiajun Duan, Yigang He, Bolun Du, Ruaa M. Rashad Ghandour, Wenjie Wu, Hui Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Condition monitoring
fault diagnostics
convolutional neural networks (CNNs)
image segmentation
lattice Boltzmann method (LBM)
level set
Online Access:https://ieeexplore.ieee.org/document/8713463/

Internet

https://ieeexplore.ieee.org/document/8713463/

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