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...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | en_US |
Published: |
2019
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Online Access: | http://ndltd.ncl.edu.tw/handle/s75uga |