Partial Discharge Patterns Recognition with Deep Convolutional Neural Networks

碩士 === 國立成功大學 === 電機工程學系 === 107 === Artificial neural networks have been widely used in the field of partial discharge. This study uses the 2D-convolution neural network of deep learning architecture to extract features and classify them to achieve diagnosis. The main purpose of this study is to id...

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Bibliographic Details
Main Authors: ChristianaHuang, 黃玉茵
Other Authors: Jiann Fuh Chen
Format: Others
Language:en_US
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/s75uga