| 1 |
Mineral processing plant data reconciliation including mineral mass balance constraints
Sadeghi M, Hodouin D, Bazin C
Minerals Engineering, 123, 117, 2018 |
| 2 |
Determining a dynamic model for flotation circuits using plant data to implement a Kalman filter for data reconciliation
Vasebi A, Poulin E, Hodouin D
Minerals Engineering, 83, 192, 2015 |
| 3 |
Selecting proper uncertainty model for steady-state data reconciliation - Application to mineral and metal processing industries
Vasebi A, Poulin E, Hodouin D
Minerals Engineering, 65, 130, 2014 |
| 4 |
Estimation of the variance of the fundamental error associated to the sampling of low grade ores
Bazin C, Hodouin D, Blondin RM
International Journal of Mineral Processing, 124, 117, 2013 |
| 5 |
Ore storage simulation for planning a concentrator expansion
Berton A, Jubinville M, Hodouin D, Prevost CG, Navarra P
Minerals Engineering, 40, 56, 2013 |
| 6 |
Dynamic data reconciliation based on node imbalance autocovariance functions
Vasebi A, Poulin E, Hodouin D
Computers & Chemical Engineering, 43, 81, 2012 |
| 7 |
Methods for automatic control, observation, and optimization in mineral processing plants
Hodouin D
Journal of Process Control, 21(2), 211, 2011 |
| 8 |
Suboptimal flowrate estimators and their application to the design of measurement strategies
Hodouin D, Lachance L, Poulin E
Journal of Process Control, 21(2), 235, 2011 |
| 9 |
Impact of plant dynamics on the performance of steady-state data reconciliation
Poulina E, Hodouin D, Lachance L
Computers & Chemical Engineering, 34(3), 354, 2010 |
| 10 |
Synchronized node imbalances for fault detection and isolation in plant networks involving material circulation
Berton A, Hodouin D
Computers & Chemical Engineering, 31(7), 815, 2007 |
