| Bayesian hierarchical models for aerospace gas turbine engine prognostics MA Zaidan, RF Harrison, AR Mills, PJ Fleming Expert Systems with Applications 42 (1), 539-553, 2015 | 98 | 2015 |
| Gas turbine engine prognostics using Bayesian hierarchical models: A variational approach MA Zaidan, AR Mills, RF Harrison, PJ Fleming Mechanical Systems and Signal Processing 70, 120-140, 2016 | 91 | 2016 |
| Current-residual-based stator interturn fault detection in permanent magnet machines R Hu, J Wang, AR Mills, E Chong, Z Sun IEEE Transactions on Industrial Electronics 68 (1), 59-69, 2020 | 73 | 2020 |
| High-frequency voltage injection based stator interturn fault detection in permanent magnet machines R Hu, J Wang, AR Mills, E Chong, Z Sun IEEE Transactions on Power Electronics 36 (1), 785-794, 2020 | 65 | 2020 |
| Prognostics of gas turbine engine: An integrated approach MA Zaidan, R Relan, AR Mills, RF Harrison Expert Systems with Applications 42 (22), 8472-8483, 2015 | 56 | 2015 |
| Detection and classification of turn fault and high resistance connection fault in permanent magnet machines based on zero sequence voltage R Hu, J Wang, AR Mills, E Chong, Z Sun IEEE Transactions on Power Electronics 35 (2), 1922-1933, 2019 | 49 | 2019 |
| Bayesian framework for aerospace gas turbine engine prognostics MA Zaidan, AR Mills, RF Harrison 2013 IEEE Aerospace Conference, 1-8, 2013 | 42 | 2013 |
| PWM ripple currents based turn fault detection for multiphase permanent magnet machines R Hu, J Wang, B Sen, AR Mills, E Chong, Z Sun IEEE Transactions on Industry Applications 53 (3), 2740-2751, 2016 | 19 | 2016 |
| Control of DC power distribution system of a hybrid electric aircraft with inherent overcurrent protection AC Braitor, AR Mills, V Kadirkamanathan, GC Konstantopoulos, ... 2018 IEEE international conference on electrical systems for aircraft …, 2018 | 14 | 2018 |
| A distributed intelligent agent architecture for gas-turbine engine health management P Gunetti, A Mills, H Thompson 46th AIAA Aerospace Sciences Meeting and Exhibit, 883, 2008 | 13 | 2008 |
| Online optimal and adaptive integral tracking control for varying discrete‐time systems using reinforcement learning I Sanusi, A Mills, T Dodd, G Konstantopoulos International Journal of Adaptive Control and Signal Processing 34 (8), 971-991, 2020 | 11 | 2020 |
| Gas turbine engine condition monitoring using Gaussian mixture and hidden Markov models WR Jacobs, H Edwards, P Li, V Kadirkamanathan, AR Mills International Journal of Prognostics and Health Management 9, 2018 | 11 | 2018 |
| Methods and Apparatuses For Monitoring A System GF Tanner, A Mills US Patent App. 12/308,952, 2009 | 11 | 2009 |
| Power management optimisation for hybrid electric systems using reinforcement learning and adaptive dynamic programming I Sanusi, A Mills, G Konstantopoulos, T Dodd 2019 American Control Conference (ACC), 2608-2613, 2019 | 10 | 2019 |
| Accommodating repair actions into gas turbine prognostics Z Skaf, MA Zaidan, RF Harrison, AR Mills Annual Conference of the PHM Society 5 (1), 2013 | 10 | 2013 |
| Sensing for aerospace combustor health monitoring AR Mills, V Kadirkamanathan Aircraft Engineering and Aerospace Technology 92 (1), 37-46, 2020 | 9 | 2020 |
| Equipment Health Monitoring in Complex Systems S King, AR Mills, V Kadirkamanathan, D Clifton | 9 | 2017 |
| Supervised-distributed control with joint performance and communication optimisation R Guicherd, PA Trodden, AR Mills, V Kadirkamanathan International Journal of Control 95 (5), 1371-1382, 2022 | 8 | 2022 |
| Fusing an ensemble of diverse prognostic life predictions OW Laslett, AR Mills, MA Zaidan, RF Harrison 2014 IEEE Aerospace Conference, 1-10, 2014 | 7 | 2014 |
| Aero engine health management system architecture design using multi-criteria optimization R Kudikala, AR Mills, PJ Fleming, GF Tanner, JE Holt Proceedings of the 15th annual conference companion on Genetic and …, 2013 | 7 | 2013 |
Robert F HarrisonUniversity of SheffieldZweryfikowany adres z sheffield.ac.uk
