Data-driven flotation reagent changing evaluation via union distribution analysis of bubble size and shape-Reference-Cited by-同舟云学术

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Data-driven flotation reagent changing evaluation via union distribution analysis of bubble size and shape

Published:2018-04-17 Issue:12 Volume:96 Page:2616-2626
ISSN:0008-4034
Container-title:The Canadian Journal of Chemical Engineering
language:en
Short-container-title:Can. J. Chem. Eng.

Author:

Ai Mingxi¹^ORCID,Xie Yongfang¹,Xu Degang¹,Gui Weihua¹,Yang Chunhua¹

Affiliation:

1. School of Information Science & Engineering; Central South University Changsha; Hunan 410083 China

Funder

National Science Foundation

National Natural Science Foundation of China

Foundation for Innovative Research Groups of the National Natural Science Foundation of China

Central South University

Publisher

Wiley

Subject

General Chemical Engineering

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/cjce.23187/fullpdf

Reference27 articles.

1. Multi-model soft measurement method of the froth layer thickness based on visual features

2. Experimental studies and modeling of surface bubble behaviour in froth flotation

3. Online monitoring and control of froth flotation systems with machine vision: A review

4. A review of the mechanisms and models of bubble-particle detachment in froth flotation

5. Machine learning strategies for control of flotation plants

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1. Hybrid features extraction for the online mineral grades determination in the flotation froth using Deep Learning;Engineering Applications of Artificial Intelligence;2024-03

2. Measurement of Froth-Layer Depth With Binocular Camera Based on Intensity Correction and Its Application to Pulp-Grade Monitoring;IEEE Transactions on Instrumentation and Measurement;2024

3. Short-long temporal graph convolution network for grade monitoring in a first zinc rougher;Minerals Engineering;2024-01

4. Smart Soft Sensor for Froth flotation quality monitoring using pre-trained feature extractor and Vision Transformer ViT;2023 17th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS);2023-11-08

5. 基于轻量型卷积视觉Transformer的锑浮选工况识别;Laser & Optoelectronics Progress;2023

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