| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A Combined MPC for Milling and Flotation – A Simulation Study
|
Brooks, Kevin
|
|
2019
|
52 |
14 |
p. 24-29
|
artikel
|
| 2 |
A Condition for Singular Optimal Control Formulation for a Tandem Pair of Gravity Fed Linear DC Machine Powered Mine Locomotives
|
Ngwako, Mohlalakoma T.
|
|
2019
|
52 |
14 |
p. 201-206
|
artikel
|
| 3 |
A Condition Monitoring Methodology Based on a Non-Parametric System Identification Approach
|
Chernyshov, K.R.
|
|
2019
|
52 |
14 |
p. 153-158
|
artikel
|
| 4 |
A dynamic model of fluidized-bed flotation
|
Georges-Filteau, David
|
|
2019
|
52 |
14 |
p. 66-71
|
artikel
|
| 5 |
A flexible steady state comminution circuits simulator
|
Ureta, Fernando
|
|
2019
|
52 |
14 |
p. 13-17
|
artikel
|
| 6 |
Analysis of Electrochemical Noise for Corrosion Type Identification by Use of Global Recurrence Plots and Texture Analysis
|
Kok, T.L.
|
|
2019
|
52 |
14 |
p. 36-41
|
artikel
|
| 7 |
An energy-attributed graph approach for the purposes of FDI in a heated two-tank system
|
Uren, Kenneth R.
|
|
2019
|
52 |
14 |
p. 159-164
|
artikel
|
| 8 |
A New Data-Driven Method for Nonlinear Process Monitoring
|
Chen, Zhiwen
|
|
2019
|
52 |
14 |
p. 171-176
|
artikel
|
| 9 |
An Optimization Approach for Shovel Allocation to Minimize Fuel Consumption in Open-pit Mines: Case of Heterogeneous Fleet of Shovels.
|
Bajany, D.M.
|
|
2019
|
52 |
14 |
p. 207-212
|
artikel
|
| 10 |
Automatic near-infrared hyperspectral image analysis of copper concentrates
|
Coelho, Pablo A.
|
|
2019
|
52 |
14 |
p. 94-98
|
artikel
|
| 11 |
Averaging Level Control of Bulk Solid Material using a Tripper Car
|
Albuquerque, Kaike
|
|
2019
|
52 |
14 |
p. 147-152
|
artikel
|
| 12 |
Computational cost of an exergy-based fault detection scheme implemented in a commercial process simulator
|
Marais, Henri
|
|
2019
|
52 |
14 |
p. 213-218
|
artikel
|
| 13 |
CONDITIONS FOR COMPLETE FEEDBACK LINEARISATION ON ACTIVE SUSPENSION SYSTEMS FOR MINING TRUCKS
|
Nkomo, Lihle I.
|
|
2019
|
52 |
14 |
p. 189-194
|
artikel
|
| 14 |
Contents
|
|
|
2019
|
52 |
14 |
p. i-vii
|
artikel
|
| 15 |
Controller Maintenance Prioritisation with LoopRank for a Milling and Flotation Plant
|
McCoy, John T.
|
|
2019
|
52 |
14 |
p. 243-248
|
artikel
|
| 16 |
Control of Jet Flow Angle in Continuous Casting Process using an Electromagnetic Brake
|
Abouelazayem, Shereen
|
|
2019
|
52 |
14 |
p. 88-93
|
artikel
|
| 17 |
Data-driven Extraction Method of Belief Rule for Reagent Addition in Antimony Rougher Flotation
|
Wang, Xiaoli
|
|
2019
|
52 |
14 |
p. 72-77
|
artikel
|
| 18 |
Deep Convolutional Neural Network for Mill Feed Size Characterization ⁎ ⁎ This work is based on research supported in part by the National Research Foundation of South Africa (Grant number 111741).
|
Olivier, Laurentz E.
|
|
2019
|
52 |
14 |
p. 105-110
|
artikel
|
| 19 |
Extension, Validation, and Simulation of a Cone Crusher Model ⁎ ⁎ This work is financed by the program SIP|STRIM from Sweden’s innovation agency VINNOVA and by Vale S.A. The efforts from Tero Onnela from Metso Minerals Inc., Finland are highly appreciated in providing the laboratory data and the discussions.
|
Atta, Khalid Tourkey
|
|
2019
|
52 |
14 |
p. 1-6
|
artikel
|
| 20 |
Feed Size Distribution Feedforward Control for a Grinding Mill Circuit
|
Maritz, M.G.
|
|
2019
|
52 |
14 |
p. 7-12
|
artikel
|
| 21 |
Flotation Process Fault Diagnosis Via Structural Analysis
|
Pérez-Zuñiga, C.G.
|
|
2019
|
52 |
14 |
p. 225-230
|
artikel
|
| 22 |
Limitations on control performance in the Czochralski crystal growth process using bright ring measurement as a controlled variable ⁎ ⁎ The work is funded by the Norwegian Research Council’s ASICO project ‘project No. 256806/O20’
|
Bukhari, Halima Zahra
|
|
2019
|
52 |
14 |
p. 129-134
|
artikel
|
| 23 |
Material level detection of blast furnace based on the fusion of membership degree classification and sliding window Model
|
Chen, Zhipeng
|
|
2019
|
52 |
14 |
p. 48-53
|
artikel
|
| 24 |
Mine workers threshold shift estimation via optimization algorithms for deep recurrent neural networks
|
Madahana, Milka C.I.
|
|
2019
|
52 |
14 |
p. 117-122
|
artikel
|
| 25 |
Modeling and Control of an Autonomous Linear DC Machine Powered Mine Locomotive
|
Ngwako, Mohlalakoma T.
|
|
2019
|
52 |
14 |
p. 195-200
|
artikel
|
| 26 |
Modeling the product net value of a grinding-flotation circuit
|
Thivierge, Alex
|
|
2019
|
52 |
14 |
p. 18-23
|
artikel
|
| 27 |
Modelling of Inner Surface Temperature Field of Blast Furnace Wall Based on Inverse Heat Conduction Problems
|
Shen, Ling
|
|
2019
|
52 |
14 |
p. 78-83
|
artikel
|
| 28 |
Model of an Electric Arc Furnace Oxy-Fuel Burner for dynamic simulations and optimisation purposes.
|
Hernandez, Jesus D.
|
|
2019
|
52 |
14 |
p. 30-35
|
artikel
|
| 29 |
New concept of safeprocess based on a fault detection methodology: Super Alarms
|
Vásquez, J.W.
|
|
2019
|
52 |
14 |
p. 231-236
|
artikel
|
| 30 |
Noise level policy advising system for mine workers
|
Madahana, Milka C.I.
|
|
2019
|
52 |
14 |
p. 249-254
|
artikel
|
| 31 |
Nonlinear Time Series Analysis of Avalanching Granular Flow Data
|
Aldrich, Chris
|
|
2019
|
52 |
14 |
p. 237-242
|
artikel
|
| 32 |
Passive Fault Tolerant Control System Using Feed-forward Neural Network for Two-Tank Interacting Conical Level Control System Against Partial Actuator Failures and Disturbances ⁎ ⁎ Research work carried out at Instrumentation & Control Engineering Dept., D. D. University, Nadiad, Gujarat, India.
|
Patel, Himanshukumar R.
|
|
2019
|
52 |
14 |
p. 141-146
|
artikel
|
| 33 |
Predicting optimal operating points by modelling different flotation mechanisms ⁎ ⁎ This work is based on research supported in part by the National Research Foundation of South Africa (Grant number 111741).
|
Oosthuizen, Daniël J.
|
|
2019
|
52 |
14 |
p. 60-65
|
artikel
|
| 34 |
Process Monitoring and Fault Detection using Empirical Mode Decomposition and Singular Spectrum Analysis
|
Krishnannair, S.
|
|
2019
|
52 |
14 |
p. 219-224
|
artikel
|
| 35 |
Quantitative Ore Texture Analysis with Convolutional Neural Networks
|
Fu, Y.
|
|
2019
|
52 |
14 |
p. 99-104
|
artikel
|
| 36 |
Reinforcement Learning and Deep Neural Networks for PI Controller Tuning
|
Shipman, William J.
|
|
2019
|
52 |
14 |
p. 111-116
|
artikel
|
| 37 |
Simulation Analysis of a Mineral Liberation Estimator for Control Purposes
|
Pérez-García, E.M.
|
|
2019
|
52 |
14 |
p. 123-128
|
artikel
|
| 38 |
Slip Model Adaptation Based on Measurements of the Strip Velocity ⁎ ⁎ The financial support by the Christian Doppler Research Association, the Austrian Federal Ministry for Digital and Economic Affairs, and the National Foundation for Research, Technology and Development is gratefully acknowledged.
|
Knechtelsdorfer, Ulrich
|
|
2019
|
52 |
14 |
p. 42-47
|
artikel
|
| 39 |
Smart automated noise policy monitoring and feedback control system for mining application
|
Madahana, Milka C.I.
|
|
2019
|
52 |
14 |
p. 177-182
|
artikel
|
| 40 |
State controllability of a froth flotation cell
|
le Roux, J.D.
|
|
2019
|
52 |
14 |
p. 54-59
|
artikel
|
| 41 |
Statistical modelling of an ammonium nitrate fluidised bed granulator for inference measurement
|
Kok, Rudolph L.
|
|
2019
|
52 |
14 |
p. 135-140
|
artikel
|
| 42 |
Temperature stabilisation at the Lonmin Smelter Hot Gas Generator and Flash Dryer unit operations
|
Olivier, Marnus
|
|
2019
|
52 |
14 |
p. 84-87
|
artikel
|
| 43 |
Translationalized Tire-Road Friction Formulation for Linear DC Machine Powered Mine Locomotives
|
Ngwako, Mohlalakoma T.
|
|
2019
|
52 |
14 |
p. 183-188
|
artikel
|
| 44 |
Vision-based inspection and segmentation of trimmed steel edges
|
Zeiler, Alexander
|
|
2019
|
52 |
14 |
p. 165-170
|
artikel
|
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