Motor Fault Detection bu Using Recurrent Neural Network Autoencoder

Motor Fault Detection bu Using Recurrent Neural Network Autoencoder

碩士 === 國立交通大學 === 機械工程系所 === 107 === This research proposes a two-layer analysis architecture of machine learning and deep learning to predict the motor failure modes. The data were obtained from a self-built motor testing platform. The first layer analysis model integrates Recurrent Neural Network...

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Bibliographic Details
Main Authors:	Huang, Chi-Jui, 黃麒瑞
Other Authors:	Chen, Chiun-Hsun
Format:	Others
Language:	zh-TW
Published:	2019
Online Access:	http://ndltd.ncl.edu.tw/handle/5dsset

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