Unsupervised anomaly detection in shearers via autoencoder networks and multi-scale correlation matrix reconstruction

Abstract As the main equipment of coal mining production, the anomaly detection of shearer is important to ensure production efficiency and coal mine safety. One key challenge lies in the limited or even absence of labeled monitoring data for the equipment, coupled with the high costs associated wit...

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Váldodahkkit:	Yang Song, Weidong Wang, Yuxin Wu, Yuhan Fan, Xuan Zhao
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	SpringerOpen 2024-10-01
Ráidu:	International Journal of Coal Science & Technology
Fáttát:	Shearer Unsupervised learning Autoencoder networks Anomaly detection
Liŋkkat:	https://doi.org/10.1007/s40789-024-00730-9
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