Fault detection in flotation processes based on deep learning and support vector machine

Effective fault detection techniques can help flotation plant reduce reagents consumption, increase mineral recovery, and reduce labor intensity. Traditional, online fault detection methods during flotation processes have concentrated on extracting a specific froth feature for segmentation, like col...

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Veröffentlicht in:	Journal of Central South University 2019-09, Vol.26 (9), p.2504-2515
Hauptverfasser:	Li, Zhong-mei, Gui, Wei-hua, Zhu, Jian-yong
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Antimony Artificial neural networks Chemical reduction Convolution Deep learning Engineering Fault detection Feature extraction Flotation Image detection Image segmentation Metallic Materials Reagents Support vector machines
Online-Zugang:	Volltext
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