| 1 |
Acoustic signal based fault detection on belt conveyor idlers using machine learning
Liu XW, Pei DL, Lodewijks G, Zhao ZY, Mei J
Advanced Powder Technology, 31(7), 2689, 2020 |
| 2 |
Healthy speed control of belt conveyors on conveying bulk materials
He DJ, Pang YS, Lodewijks G, Liu XW
Powder Technology, 327, 408, 2018 |
| 3 |
Transverse bulk solid behaviour during discharge from troughed belt conveyors
Ilic D, Wheeler CA
Advanced Powder Technology, 28(9), 2410, 2017 |
| 4 |
Green operations of belt conveyors by means of speed control
He DJ, Pang YS, Lodewijks G
Applied Energy, 188, 330, 2017 |
| 5 |
A coupled FEM/DEM model for pipe conveyor systems: Analysis of the contact forces on belt
Zheng QJ, Xu MH, Chu KW, Pan RH, Yu AB
Powder Technology, 314, 480, 2017 |
| 6 |
Optimization and experimental study of transport section lateral pressure of pipe belt conveyor
Guo YC, Wang S, Hu K, Li DY
Advanced Powder Technology, 27(4), 1318, 2016 |
| 7 |
Speed control of belt conveyors during transient operation
He DJ, Pang YS, Lodewijks G
Powder Technology, 301, 622, 2016 |
| 8 |
A stress discontinuity approach to model the stress profile on a loaded conveyor belt
Liu XW, Pang YS, Lodewijks G
Powder Technology, 273, 102, 2015 |
| 9 |
The importance of wall friction between particulate solids and elastomeric belt
Scieszka SF, Adamecki D
Powder Technology, 245, 199, 2013 |
| 10 |
Modeling and energy efficiency optimization of belt conveyors
Zhang SR, Xia XH
Applied Energy, 88(9), 3061, 2011 |
