16‐2: Machine‐Anomaly Sound Detection Using Convolutional Recurrent Neural Network with Prediction Loss

Automatic machine anomaly sound detection is important for machine maintenance in display manufacturing factory. Recently, unsupervised anomaly detection approach based on autoencoder and reconstruction error has been proposed, which has assumption that the network trained only with the normal data...

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Veröffentlicht in:	SID International Symposium Digest of technical papers 2021-05, Vol.52 (1), p.192-195
Hauptverfasser:	Lee, Hankyeol, Ryu, Jungwon, Na, Byeonghyeon, Oh, Euiyeol, Kim, Changgone, Yoon, Sooyoung
Format:	Artikel
Sprache:	eng
Schlagworte:	Anomalies Artificial neural networks Convolution neural network Deep learning Display manufacturing Machine anomaly sound detection Neural networks Reconstruction Recurrent neural network Recurrent neural networks Sound
Online-Zugang:	Volltext
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