1. S. Zhang, Y. Yan, X. Qian, R. Huang and Y. Hu, Homogenization of the spatial sensitivity of electrostatic sensors for the flow measurement of pneumatically conveyed solids in a square-shaped pipe, vol. 17, no. 22, pp. 7516–7525, IEEE Sensors Journal, 2017.
2. H. Zhou, Y. Li, Q. Tang, G. Lu and Y. Yan, Combining flame monitoring techniques and support vector machine for the online identification of coal blends, Journal of Zhejiang University-SCIENCE A, vol. 18, no. 9, pp. 677–689, 2017.
3. L. Wang, Y. Yan and K. Reda, Comparison of single and double electrostatic sensors for rotational speed measurement, Sensors and Actuators A: Physical, vol. 266, pp. 46–55, 2017.
4. J. Liu, S. Liu, S. Sun, W. Zhou, IHI Schlaberg, M. Wang and Y. Yan, Tomographic data fusion with CFD simulations associated with a planar sensor, Journal of Thermal Science, vol. 26, no. 2, pp. 175–182, 2017.
5. K. Adefila, Y. Yan, L. Sun and T. Wang, Flow measurement of wet CO2 using an averaging pitot tube and coriolis mass flowmeters, International Journal of Greenhouse Gas Control, vol. 63, pp. 289–295, 2017.
6. Z. Wei and B. Lin, The inversion method of industrial flame vertical temperature field based on multi-spectral radiation, International Journal of Multimedia and Ubiquitous Engineering, vol. 12, no. 2, pp. 1–12, 2017.
7. X. Han, D. Liu, J. Liu and L. Kong, Sensitivity analysis of acquisition granularity of photovoltaic output power to capacity configuration of energy storage systems, Applied Energy, vol. 203, pp. 794–807, 2017.
8. X. Han, D. Liu, J. Liu and L. Kong, Sensitivity analysis of PV output power to capacity configuration of energy storage systems from time and space characteristics, International Journal of Energy Research, vol. 41, no. 15, pp. 2517–2534, 2017.
9. K. Adefila, Y. Yan, L. Sun and T. Wang, Flow measurement of CO2 in a binary gaseous mixture using an averaging Pitot Tube and Coriolis mass flowmeters, Flow Measurement and Instrumentation, vol. 54, pp. 265–272, 2017.
10. J. Sun and Y. Yan, Non-intrusive characterisation of particle cluster behaviours in a riser through electrostatic and vibration sensing, Chemical Engineering Journal, vol. 323, pp. 381–395, 2017.
11. Y. Hu, S. Zhang, Y. Yan, L. Wang, X. Qian and L. Yang, A smart electrostatic sensor for on-line condition monitoring of power transmission belts, IEEE Transactions on Industrial Electronics, vol. 64, no. 9, pp. 7313–7322, 2017.
12. X. Bai, G. Lu, M. Hossain, J. Szuhánszki, S. Daood, W. Nimmo, Y. Yan and M. Pourkashanian, Multi-mode combustion process monitoring on a pulverised fuel combustion test facility based on flame imaging and random weight network techniques, Fuel, vol. 202, pp. 656–664, 2017.
13. S. Daood, M. Ottolini, S. Taylor, O. Ogunyinka, M. Hossain, G. Lu, Y. Yan and W. Nimmo, Pollutant and corrosion control technology and efficient coal combustion, Energy & Fuels, vol. 31, no. 5, pp. 5581–5596, 2017.
14. L. Wang, J. Liu, Y. Yan, X .Wang and T. Wang, Gas–liquid two-phase flow measurement using Coriolis flowmeters incorporating artificial neural network, IEEE Transactions on Instrumentation and Measurement, vol. 66, no. 5, pp. 852–868, 2017.
15. X. Bai, G. Lu, T. Bennet, A. Sarroza, C. Eastwick, H. Liu and Y. Yan, Combustion behavior profiling of single pulverized coal particles in a drop tube furnace through high-speed imaging and image analysis, Experimental Thermal and Fluid Science, vol. 85, pp. 322–330, 2017.
16. X. Bai, G. Lu, M. Hossain, Y. Yan and S. Liu, Multimode monitoring of oxy-gas combustion through flame imaging, principal component analysis, and kernel support vector machine, Combustion Science and Technology, vol. 189, pp. 776–792, 2017.
17. Y. Hu, Y. Yan, L. Yang, L. Wang and X. Qian, On-line continuous measurement of the operating deflection shape of power transmission belts through electrostatic charge sensing, IEEE Transactions on Instrumentation and Measurement, vol. 66, no.3, pp. 492–501, 2017.
18. W. Zhang, Y. Yan, X. Qian, Y. Guan and K. Zhang, Measurement of charge distributions in a bubbling fluidized bed using wire–mesh electrostatic sensors, IEEE Transactions on Instrumentation and Measurement, vol. 66, no.3, pp. 522–534, 2017.
19. X. Han, Z. Zhao, J. Li and T. Ji, Economic evaluation for wind power generation–hybrid energy storage system based on game theory, International Journal of Energy Research, vol. 41, pp. 49–62, 2017.
20. Q. Shi, Q. Zhang, G. Han, W. Zhang, J. Wang, Z. Huang, Y. Yang, Y. Yang, W. Wu and Y. Yan, Simultaneous measurement of electrostatic charge and its effect on particle motions by electrostatic sensors array in gas–solid fluidized beds, Powder Technology, vol. 312, pp. 29–37, 2017.
21. L. Wang, Y. Yan, X. Wang and T. Wang, Input variable selection for data-driven models of Coriolis flowmeters for two-phase flow measurement, Measurement Science and Technology, vol. 28, no. 3, pp.035305, 2017.
22. J. Sun and Y. Yan, Computational characterisation of intermittent hydrodynamic behaviours in a riser with Geldart A particles, Powder Technology, vol. 311, pp. 41–51, 2017.
23. X. Qian, D. Shi, Y. Yan, W. Zhang and G. Li, Effects of moisture content on electrostatic sensing based mass flow measurement of pneumatically conveyed particles, Powder Technology, vol. 311, no. 4, pp. 579–588, 2017.
24. Y. Yang, Q. Zhang, C. Zi, Z. Huang, W. Zhang, Z. Liao, J. Wang, Y. Yang, Y. Yan and G. Han, Monitoring of particle motions in gas–solid fluidized beds by electrostatic sensors, Powder Technology, vol. 308, pp. 461–471, 2017.
25. X. Qian, Y. Yan, X. Huang and Y. Hu, Measurement of the mass flow and velocity distributions of pulverized fuel in primary air pipes using electrostatic sensing techniques, IEEE Transactions on Instrumentation and Measurement, vol. 66, no. 5, pp. 944–952, 2017.
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