Abnormal Detection for Running State of Linear Motor Feeding System Based on Deep Neural Networks

Because the linear motor feeding system always runs in complex working conditions for a long time, its performance and state transition have great randomness. Therefore, abnormal detection is particularly significant for predictive maintenance to promptly discover the running state degradation trend...

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Bibliographic Details

Published in:	Energies
Main Authors:	Zeqing Yang, Wenbo Zhang, Wei Cui, Lingxiao Gao, Yingshu Chen, Qiang Wei, Libing Liu
Format:	Article
Language:	English
Published:	MDPI AG 2022-08-01
Subjects:	linear motor feeding system lack of abnormal samples deep neural network anomaly detection semi-supervised anomaly detection generative adversarial network (GANomaly) long short-term memory (LSTM) network
Online Access:	https://www.mdpi.com/1996-1073/15/15/5671