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Integrated prediction model of bauxite concentrate grade based on distributed machine vision

Minerals engineering, 2013-11, Vol.53, p.31-38

2013

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A knowledge reasoning Fuzzy-Bayesian network for root cause analysis of abnormal aluminum electrolysis cell condition

Frontiers of Chemical Science and Engineering, 2017-09, Vol.11 (3), p.414-428

2017

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Improved model-free adaptive predictive control method for direct data-driven control of a wastewater treatment process with high performance

Journal of process control, 2022-02, Vol.110, p.11-23

2022

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Pruned tree-structured temporal convolutional networks for quality variable prediction of industrial process

Journal of process control, 2024-11, Vol.143, p.103312, Article 103312

2024

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Tuning of fuzzy controller with arbitrary triangular input fuzzy sets based on proximal policy optimization for time-delays system

Journal of process control, 2023-09, Vol.129, p.103059, Article 103059

2023

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Distributed process monitoring based on joint mutual information and projective dictionary pair learning

Journal of process control, 2021-10, Vol.106, p.130-141

2021

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Flotation froth image enhancement based on region decomposition and guided filtering

Minerals engineering, 2024-09, Vol.216, p.108919, Article 108919

2024

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SEAG: A novel dynamic security risk assessment method for industrial control systems with consideration of social engineering

Journal of process control, 2023-12, Vol.132, p.103131, Article 103131

2023

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Convolutional memory network-based flotation performance monitoring

Minerals engineering, 2020-06, Vol.151, p.106332, Article 106332

2020

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Short-long temporal graph convolution network for grade monitoring in a first zinc rougher

Minerals engineering, 2024-01, Vol.205, p.108457, Article 108457

2024

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Long short-term memory-based grade monitoring in froth flotation using a froth video sequence

Minerals engineering, 2021-01, Vol.160, p.106677, Article 106677

2021

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A self-supervised temporal temperature prediction method based on dilated contrastive learning

Journal of process control, 2022-12, Vol.120, p.150-158

2022

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Operating condition recognition based on temporal cumulative distribution function and AdaBoost-extreme learning machine in zinc flotation process

Powder technology, 2022-01, Vol.395, p.545-555

2022

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Process working condition recognition based on the fusion of morphological and pixel set features of froth for froth flotation

Minerals engineering, 2018-11, Vol.128, p.17-26

2018

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Towards tailing grade prediction in zinc flotation via variablewise and temporalwise attention

Minerals engineering, 2023-02, Vol.192, p.108000, Article 108000

2023

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A layered working condition perception integrating handcrafted with deep features for froth flotation

Minerals engineering, 2021-08, Vol.170, p.107059, Article 107059

2021

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A New Data Reconciliation Strategy Based on Mutual Information for Industrial Processes

Industrial & engineering chemistry research, 2018-09, Vol.57 (38), p.12861-12870

2018

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Weighted-coupling CSTR modeling and model predictive control with parameter adaptive correction for the goethite process

Journal of process control, 2018-08, Vol.68, p.254-267

2018

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Froth Stereo Visual Feature Extraction for the Industrial Flotation Process

Industrial & engineering chemistry research, 2019-08, Vol.58 (31), p.14510-14519

2019

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Self-supervised dynamic and static feature representation learning method for flotation monitoring

Powder technology, 2024-06, Vol.442, p.119866, Article 119866

2024

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PKG-DTSFLN: Process Knowledge-guided Deep Temporal–spatial Feature Learning Network for anode effects identification

Journal of process control, 2024-06, Vol.138, p.103221, Article 103221

2024

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Grade prediction of zinc tailings using an encoder-decoder model in froth flotation

Minerals engineering, 2021-10, Vol.172, p.107173, Article 107173

2021

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Complex networks-based texture extraction and classification method for mineral flotation froth images

Minerals engineering, 2015-11, Vol.83, p.105-116

2015

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Distributed parameter modeling and optimal control of the oxidation rate in the iron removal process

Journal of process control, 2018-01, Vol.61, p.47-57

2018

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Application of density-based clustering algorithm and capsule network to performance monitoring of antimony flotation process

Minerals engineering, 2022-06, Vol.184, p.107603, Article 107603

2022

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Integrated prediction model of bauxite concentrate grade based on distributed machine vision

A knowledge reasoning Fuzzy-Bayesian network for root cause analysis of abnormal aluminum electrolysis cell condition

Improved model-free adaptive predictive control method for direct data-driven control of a wastewater treatment process with high performance

Pruned tree-structured temporal convolutional networks for quality variable prediction of industrial process

Tuning of fuzzy controller with arbitrary triangular input fuzzy sets based on proximal policy optimization for time-delays system

Distributed process monitoring based on joint mutual information and projective dictionary pair learning

Flotation froth image enhancement based on region decomposition and guided filtering

SEAG: A novel dynamic security risk assessment method for industrial control systems with consideration of social engineering

Convolutional memory network-based flotation performance monitoring

Short-long temporal graph convolution network for grade monitoring in a first zinc rougher

Long short-term memory-based grade monitoring in froth flotation using a froth video sequence

A self-supervised temporal temperature prediction method based on dilated contrastive learning

Operating condition recognition based on temporal cumulative distribution function and AdaBoost-extreme learning machine in zinc flotation process

Process working condition recognition based on the fusion of morphological and pixel set features of froth for froth flotation

Towards tailing grade prediction in zinc flotation via variablewise and temporalwise attention

A layered working condition perception integrating handcrafted with deep features for froth flotation

A New Data Reconciliation Strategy Based on Mutual Information for Industrial Processes

Weighted-coupling CSTR modeling and model predictive control with parameter adaptive correction for the goethite process

Froth Stereo Visual Feature Extraction for the Industrial Flotation Process

Self-supervised dynamic and static feature representation learning method for flotation monitoring

PKG-DTSFLN: Process Knowledge-guided Deep Temporal–spatial Feature Learning Network for anode effects identification

Grade prediction of zinc tailings using an encoder-decoder model in froth flotation

Complex networks-based texture extraction and classification method for mineral flotation froth images

Distributed parameter modeling and optimal control of the oxidation rate in the iron removal process

Application of density-based clustering algorithm and capsule network to performance monitoring of antimony flotation process

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