Bearing Defect Classification Algorithm Based on Autoencoder Neural Network

The postproduction defect classification and detection of bearings still relies on manual detection, which is time-consuming and tedious. To address this, we propose a bearing defect classification network based on an autoencoder to enhance the efficiency and accuracy of bearing defect detection. An...

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Bibliographic Details
Main Authors: Manhuai Lu, Yuanxiang Mou
Format: Article
Published: Hindawi Limited 2020-01-01
Series:Advances in Civil Engineering
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