Monitoring and Control of Hydrocyclones by Use of Convolutional Neural Networks and Deep Reinforcement Learning

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Monitoring and Control of Hydrocyclones by Use of Convolutional Neural Networks and Deep Reinforcement Learning

The use of convolutional neural networks for monitoring hydrocyclones from underflow images was investigated. Proof-of-concept and applied industrial considerations for hydrocyclone state detection and underflow particle size inference sensors were demonstrated. The behaviour and practical considera...

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Bibliographic Details
Main Author:	Giglia, Keith Carmelo
Format:	Thesis
Published:	Curtin University 2022
Online Access:	http://hdl.handle.net/20.500.11937/91828

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