| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A Causal Model-Based Scheduling Approach for Coke Oven Gas System in Steel Industry
|
Jin, Feng
|
|
2018
|
51 |
21 |
p. 7-12
|
artikel
|
| 2 |
Adapting a Phenomenological Model of a Rougher Flotation Circuit to Industrial Historical Operating Data Base
|
Bergh, L.
|
|
2018
|
51 |
21 |
p. 111-116
|
artikel
|
| 3 |
Adaptive fuzzy local ternary pattern for mineral flotation froth image edge detection
|
Zhou, Kaijun
|
|
2018
|
51 |
21 |
p. 235-240
|
artikel
|
| 4 |
A Fuzzy Modeling Method Based on Dirichlet Process Mixture Model for Blast Furnace Gas System
|
Huang, Yan
|
|
2018
|
51 |
21 |
p. 301-306
|
artikel
|
| 5 |
A Light Field Imaging Based Measuring Method for Blast Furnace Burden Distribution ⁎ ⁎ This work was supported in part by the Innovative Research Groups within the National Natural Science Foundation of China under Grant 61321003, and in part by the Major Program of the National Natural Science Foundation of China under Grant 61290325.
|
Xu, Tianxiang
|
|
2018
|
51 |
21 |
p. 257-261
|
artikel
|
| 6 |
A method for improving the accuracy of infrared thermometry under the influence of dust
|
Pan, Dong
|
|
2018
|
51 |
21 |
p. 246-250
|
artikel
|
| 7 |
An adaptive time series representation method for anode current signals in aluminium electrolysis ⁎ ⁎ The authors thank the National Natural Science Foundation of China (Grant Nos. 61533020, 61773405, 61533021, 61751312) and the 111 Project (Grant No. B17048) for their funding support.
|
Huang, Zhaoke
|
|
2018
|
51 |
21 |
p. 213-218
|
artikel
|
| 8 |
Analytical instrumentation for copper pyrometallurgy: challenges and opportunities
|
Yañez, Jorge
|
|
2018
|
51 |
21 |
p. 251-256
|
artikel
|
| 9 |
An effective operating parameters optimization method for electrowinning process of zinc based on kriging model and finite element model
|
Li, Xi
|
|
2018
|
51 |
21 |
p. 70-75
|
artikel
|
| 10 |
An improved Bayesian network method for fault diagnosis
|
Wang, Yalin
|
|
2018
|
51 |
21 |
p. 341-346
|
artikel
|
| 11 |
An Infrared Image-based Copper Electrolysis Short-Circuit Detection Method using Improved DoG Filter
|
Li, Xin
|
|
2018
|
51 |
21 |
p. 82-87
|
artikel
|
| 12 |
An optimal control strategy for hydrometallurgical removal process under uncertainty
|
Zhang, Bin
|
|
2018
|
51 |
21 |
p. 278-283
|
artikel
|
| 13 |
A PH multiplier-based PSO method for metal balance in nonferrous metal industry
|
Ge, Minghe
|
|
2018
|
51 |
21 |
p. 273-277
|
artikel
|
| 14 |
Application of the improved the ELM algorithm for prediction of blast furnace gas utilization rate
|
Ji, YuFei
|
|
2018
|
51 |
21 |
p. 59-64
|
artikel
|
| 15 |
A time-delay analysis method for the variables of grinding process
|
Yu, Gang
|
|
2018
|
51 |
21 |
p. 88-93
|
artikel
|
| 16 |
Chromogenic Agent Optimization for Detection of The Metal Ions in Zinc Metallurgy Wastewater
|
Zou, Shengnan
|
|
2018
|
51 |
21 |
p. 65-69
|
artikel
|
| 17 |
Color Constancy of Rare-Earth Solution Image with Adaptive Parameter
|
Yang, Hui
|
|
2018
|
51 |
21 |
p. 295-300
|
artikel
|
| 18 |
Combining Active Learning and Fisher Discriminant Analysis for the Semi-supervised Process Monitoring
|
Yin, Lili
|
|
2018
|
51 |
21 |
p. 147-151
|
artikel
|
| 19 |
Contents
|
|
|
2018
|
51 |
21 |
p. i-vi
|
artikel
|
| 20 |
Control Strategy For A Multiple Hearth Furnace
|
Gomez, Fuentes J.V.
|
|
2018
|
51 |
21 |
p. 189-194
|
artikel
|
| 21 |
Discrete Element Method of Coke Accumulation: Calibration of the Contact Parameter
|
Zu, E.X.
|
|
2018
|
51 |
21 |
p. 241-245
|
artikel
|
| 22 |
Dynamic CCA-Based Distributed Monitoring for Multiunit Non-Gaussian Processes
|
Jiang, Qingchao
|
|
2018
|
51 |
21 |
p. 347-352
|
artikel
|
| 23 |
Economic impact of spargers degradation in flotation columns
|
Bergh, L.
|
|
2018
|
51 |
21 |
p. 329-334
|
artikel
|
| 24 |
Energy optimization of mineral processing operations through optimal energy and inventory management
|
Sbarbaro, Daniel
|
|
2018
|
51 |
21 |
p. 175-178
|
artikel
|
| 25 |
Ensemble Random Weights Neural Network based Online Prediction Model of the Production Rate for Mineral Beneficiation Process
|
Lu, Jun
|
|
2018
|
51 |
21 |
p. 1-6
|
artikel
|
| 26 |
Estimation of copper concentrate grade for copper flotation
|
Yan, Hao
|
|
2018
|
51 |
21 |
p. 94-98
|
artikel
|
| 27 |
Evaluation of Flotation Working Condition Recognition Based on An Improved Apriori Algorithm
|
Wang, Xiaoli
|
|
2018
|
51 |
21 |
p. 129-134
|
artikel
|
| 28 |
Fault Diagnosis for an Industrial High Pressure Leaching Process with a Monitoring Dashboard
|
Haasbroek, Adriaan
|
|
2018
|
51 |
21 |
p. 117-122
|
artikel
|
| 29 |
Fault Diagnosis of Check Valve Based on CEEMD Compound Screening, BSE and FCM
|
Chengjiang, Zhou
|
|
2018
|
51 |
21 |
p. 323-328
|
artikel
|
| 30 |
Feature selection in froth flotation for production condition recognition ⁎ ⁎ This work was supported by the National Natural Science Foundation of China (Grant No. 61503416), Hunan Provincial Natural Science Foundation of China (Grant No. 2018JJ3683), the 111 Project (Grant No. B17048) and the Innovation-Driven Plan in Central South University.
|
Wang, Qi’an
|
|
2018
|
51 |
21 |
p. 123-128
|
artikel
|
| 31 |
Flotation modelling based on floatability distributions regressed from routine data
|
Oosthuizen, Daniël J.
|
|
2018
|
51 |
21 |
p. 105-110
|
artikel
|
| 32 |
Industrial experiments of single point feeding control method in Large-scale aluminum reduction cell
|
ZHANG, Hongliang
|
|
2018
|
51 |
21 |
p. 179-182
|
artikel
|
| 33 |
Knowledge modeling for root cause analysis of complex systems based on dynamic fuzzy cognitive maps
|
Yue, Weichao
|
|
2018
|
51 |
21 |
p. 13-18
|
artikel
|
| 34 |
Mill Load Parameter Forecasting Based on Multi-source Single-scale Mechanical Frequency Spectral Multiple feature Subsets
|
Tang, J.
|
|
2018
|
51 |
21 |
p. 53-58
|
artikel
|
| 35 |
Model Averaging and Feedforward Temperature Control in an Oscillating Annealing Furnace ⁎ ⁎ The financial support by the Austrian Federal Ministry for Digital and Economic Affairs and the National Foundation for Research, Technology and Development is gratefully acknowledged.
|
Jadachowski, L.
|
|
2018
|
51 |
21 |
p. 163-168
|
artikel
|
| 36 |
Multi-innovation based Identification of Output Error Model with Time Delay under Load Disturbance
|
Du, Jun
|
|
2018
|
51 |
21 |
p. 224-228
|
artikel
|
| 37 |
Multi-objective optimization of steam system based on GPU acceleration
|
Zhao, Liang
|
|
2018
|
51 |
21 |
p. 183-188
|
artikel
|
| 38 |
Multistage Adaptive Optimization for Steelmaking and Continuous Casting Scheduling under Processing Time Uncertainty
|
Kammammettu, Sanjula
|
|
2018
|
51 |
21 |
p. 262-267
|
artikel
|
| 39 |
Multivariate Molten Iron Quality Modeling Based on Improved Incremental Random Vector Functional-link Networks
|
Jiang, Y.
|
|
2018
|
51 |
21 |
p. 290-294
|
artikel
|
| 40 |
Non-first-order Kinetics Modelling Method for Stibnite Flotation Process
|
De-gang, XU
|
|
2018
|
51 |
21 |
p. 317-322
|
artikel
|
| 41 |
Nonlinear Time Series Prediction Model Based on Particle Swarm Optimization B-spline Network
|
Kong, Lingshuang
|
|
2018
|
51 |
21 |
p. 219-223
|
artikel
|
| 42 |
On-line monitoring of a pilot flotation rougher circuit by using PCA models
|
Bergh, L.
|
|
2018
|
51 |
21 |
p. 335-340
|
artikel
|
| 43 |
Optimal control of a rougher flotation cell using adaptive dynamic programming ⁎ ⁎ This work is based on research supported in part by the National Natural Science Foundation of China (No. 61603418)
|
Sun, B.
|
|
2018
|
51 |
21 |
p. 24-29
|
artikel
|
| 44 |
Optimal control of sulphur flotation process based on machine vision ⁎ ⁎ This research was support by the National Natural Science Foundation of China (Grand No: 61703441)
|
He, Mingfang
|
|
2018
|
51 |
21 |
p. 169-174
|
artikel
|
| 45 |
Optimal Parameter Identification for a Hydrodynamic Roll Gap Model in Hot Strip Rolling ⁎ ⁎ The financial support by the Austrian Federal Ministry for Digital and Economic Affairs and the National Foundation for Research, Technology and Development and voestalpine Stahl GmbH is gratefully acknowledged.
|
Müller, Martin
|
|
2018
|
51 |
21 |
p. 195-200
|
artikel
|
| 46 |
Optimised Blending of a Base Metal Refinery Feed Using Evolutionary Programming
|
Burchell, J.J.
|
|
2018
|
51 |
21 |
p. 268-272
|
artikel
|
| 47 |
Prediction of component content in rare earth extraction process based on ESNs-Adaboost
|
Hui, Yang
|
|
2018
|
51 |
21 |
p. 42-47
|
artikel
|
| 48 |
Process Modelling and Univariate Analysis of Comminution Circuits
|
Song, T.
|
|
2018
|
51 |
21 |
p. 19-23
|
artikel
|
| 49 |
Reagent Predictive Control Using Joint Froth Image Feature for Antimony Flotation Process
|
Ai, Mingxi
|
|
2018
|
51 |
21 |
p. 284-289
|
artikel
|
| 50 |
Real-time Detection of Steel Strip Surface Defects Based on Improved YOLO Detection Network
|
Li, Jiangyun
|
|
2018
|
51 |
21 |
p. 76-81
|
artikel
|
| 51 |
Remaining Useful Life Prediction for Proton Exchange Membrane Fuel Cell Using Stochastic Fusion Filtering ⁎ ⁎ This work was supported by the National Natural Science Foundation of China under Grants 61773055 and 61520106009,the Fundamental Research Funds for the Central Universities of China under Grant FRF-TP-16-029A3.
|
Wang, Yaqing
|
|
2018
|
51 |
21 |
p. 158-162
|
artikel
|
| 52 |
Research on Selective filtering and PCNN for Nickel Foam Surface Defect Segmentation
|
Li, Jianqi
|
|
2018
|
51 |
21 |
p. 135-140
|
artikel
|
| 53 |
Research on Temperature Field Change Trend of the Sintering Process for Lithium-ion Battery Cathode Materials
|
Chen, Ning
|
|
2018
|
51 |
21 |
p. 307-312
|
artikel
|
| 54 |
Soft-sensing method of cohesive zone shape and position in blast furnace shaft
|
Zhou, Ping
|
|
2018
|
51 |
21 |
p. 48-52
|
artikel
|
| 55 |
Stacking Approach for Soft Sensor Design in Steam Assisted Gravity Drainage Applications
|
Li, Chaoqun
|
|
2018
|
51 |
21 |
p. 30-35
|
artikel
|
| 56 |
State and Parameter Estimation in Hall-Héroult Cells using Iterated Extended Kalman Filter ⁎ ⁎ This work is supported by Australian Research Council Discovery Project DP160101810.
|
Yao, Yuchen
|
|
2018
|
51 |
21 |
p. 36-41
|
artikel
|
| 57 |
Steam Header State-Space Model Development and Validation
|
Dzedzemane, R.
|
|
2018
|
51 |
21 |
p. 207-212
|
artikel
|
| 58 |
Three-Phases Dynamic Modelling of Column Flotation Process ⁎ ⁎ This work is supported by The National Natural Science Foundation of China (NSFC: 61773183), The China Scholarship Council and The 111 Project (B12018).
|
Tian, Yahui
|
|
2018
|
51 |
21 |
p. 99-104
|
artikel
|
| 59 |
Towards Mineral Beneficiation Process Chain Intensification
|
Ohenoja, Markku
|
|
2018
|
51 |
21 |
p. 201-206
|
artikel
|
| 60 |
Trace Multi-ions Concentration Detection in Zinc Sulfate Solution Based on A Novel Characteristic Wavelength Selection Method
|
Gong, Juan
|
|
2018
|
51 |
21 |
p. 229-234
|
artikel
|
| 61 |
Using Convolutional Neural Networks to Develop State-of-the-Art Flotation Froth Image Sensors
|
Fu, Y.
|
|
2018
|
51 |
21 |
p. 152-157
|
artikel
|
| 62 |
Utilizing Industry-oriented Finite Element Codes in the Design of Virtual Steel Mill Concept
|
Ondrejkovič, K.
|
|
2018
|
51 |
21 |
p. 313-316
|
artikel
|
| 63 |
Variational Autoencoders for Missing Data Imputation with Application to a Simulated Milling Circuit
|
McCoy, John T.
|
|
2018
|
51 |
21 |
p. 141-146
|
artikel
|
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