Journal ArticleDOI
The concentrate ash content analysis of coal flotation based on froth images
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TLDR
In this paper, the authors found that there were relations between the ash content, yield and water recovery of the concentrates, and analyzed the connections between the variables and the concentrate ash content.About:
This article is published in Minerals Engineering.The article was published on 2016-06-01. It has received 37 citations till now.read more
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Journal ArticleDOI
Flotation froth image recognition with convolutional neural networks
Y. Fu,Chris Aldrich +1 more
TL;DR: Three pretrained neural networks architectures to estimate froth grades from industrial image data, namely AlexNet, VGG16 and ResNet is considered and, in its pretrained format, AlexNet outperformed previously proposed methods by a significant margin.
Journal ArticleDOI
Froth image analysis by use of transfer learning and convolutional neural networks
TL;DR: The use of a convolutional neural network pretrained on a database of images of common objects, AlexNet, was used as is to extract features from flotation froth images, which could subsequently be used to predict the conditions or performance of the flotation systems.
Journal ArticleDOI
Machine vision based monitoring and analysis of a coal column flotation circuit
TL;DR: In this paper, a machine vision system is successfully developed and implemented in a coal column flotation circuit, which can be used for diagnosing the process conditions as well as predicting the process performance at different operating conditions.
Journal ArticleDOI
Multispectral Imaging: A New Solution for Identification of Coal and Gangue
TL;DR: Results show that multispectral imaging technology can be used for the identification of coal and gangue, and the prediction accuracy of the model combined with LBP feature extraction and GS-SVM can reach 96.25% (77/80).
Journal ArticleDOI
Long short-term memory-based grade monitoring in froth flotation using a froth video sequence
TL;DR: A long short-term memory (LSTM)-based network is proposed herein to estimate the tailing grade of the first rougher from a zinc flotation circuit, in which the froth video information is utilised adequately, and the problem of different sample rates is solved.
References
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Journal ArticleDOI
Textural Features for Image Classification
TL;DR: These results indicate that the easily computable textural features based on gray-tone spatial dependancies probably have a general applicability for a wide variety of image-classification applications.
Journal ArticleDOI
The influence of particle size and hydrophobicity on the stability of mineralized froths
G. Johansson,Robert J. Pugh +1 more
TL;DR: In this paper, the influence of quartz particles on the stability of froths was studied by dynamic and static froth experiments using a froth column, and it was found that with particles with an intermediate degree of hydrophobicity (corresponding to a contact angle of ≈65° for a sessile drop of water on a quartz plate) both the dynamic and the static foam stability was maximized.
Journal ArticleDOI
The significance of froth stability in mineral flotation — A review
TL;DR: This paper presents a review of the published articles related to froth stability and its importance in mineral flotation and a number of parameters are used as indicators of froth Stability.
BookDOI
Wills' Mineral Processing Technology
TL;DR: Wills' Mineral Processing Technology as discussed by the authors provides practising engineers and students of mineral processing, metallurgy and mining with a review of all of the common ore-processing techniques utilized in modern processing installations.
Journal ArticleDOI
Online monitoring and control of froth flotation systems with machine vision: A review
TL;DR: Machine vision has been used to extract froth characteristics, both physical (e.g. bubble size) and dynamic (froth velocity) from digital images and present these results to operators and/or use the results as inputs to process control systems.