The application of reasoning to aerospace Integrated Vehicle Health Management (IVHM): Challenges and opportunities CM Ezhilarasu, Z Skaf, IK Jennions Progress in aerospace sciences 105, 60-73, 2019 | 83 | 2019 |
An integrated machine learning model for aircraft components rare failure prognostics with log-based dataset MD Dangut, Z Skaf, IK Jennions ISA transactions 113, 127-139, 2021 | 62 | 2021 |
The state of the art in selective catalytic reduction control Z Skaf, T Aliyev, L Shead, T Steffen SAE Technical Paper, 2014 | 50 | 2014 |
Comparison of different classification algorithms for fault detection and fault isolation in complex systems M Jung, O Niculita, Z Skaf Procedia Manufacturing 19, 111-118, 2018 | 49 | 2018 |
A rest time-based prognostic framework for state of health estimation of lithium-ion batteries with regeneration phenomena T Qin, S Zeng, J Guo, Z Skaf Energies 9 (11), 896, 2016 | 48 | 2016 |
Understanding the role of a Digital Twin in Integrated Vehicle Health Management (IVHM)* CM Ezhilarasu, Z Skaf, IK Jennions 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019 | 47 | 2019 |
Fault tolerant control based on stochastic distribution via RBF neural networks Z Skaf, H Wang, L Guo Journal of Systems Engineering and Electronics 22 (1), 63-69, 2011 | 35 | 2011 |
Fault tolerant control based on stochastic distribution via RBF neural networks Z Skaf, H Wang, L Guo Journal of Systems Engineering and Electronics 22 (1), 63-69, 2011 | 35 | 2011 |
The application of Bayesian change point detection in UAV fuel systems O Niculita, Z Skaf, IK Jennions Procedia CIRP 22, 115-121, 2014 | 30 | 2014 |
Application of deep reinforcement learning for extremely rare failure prediction in aircraft maintenance MD Dangut, IK Jennions, S King, Z Skaf Mechanical Systems and Signal Processing 171, 108873, 2022 | 29 | 2022 |
A generalised methodology for the diagnosis of aircraft systems CM Ezhilarasu, Z Skaf, IK Jennions Ieee Access 9, 11437-11454, 2021 | 23 | 2021 |
Towards design of prognostics and health management solutions for maritime assets O Niculita, O Nwora, Z Skaf Procedia CIRP 59, 122-132, 2017 | 21 | 2017 |
A Bayesian approach to fault identification in the presence of multi-component degradation Y Lin, S Zakwan, I Jennions International Journal of Prognostics and Health Management 8 (1), 2017 | 19 | 2017 |
State of health estimation of li-ion batteries with regeneration phenomena: a similar rest time-based prognostic framework T Qin, S Zeng, J Guo, Z Skaf Symmetry 9 (1), 4, 2016 | 19 | 2016 |
A rare failure detection model for aircraft predictive maintenance using a deep hybrid learning approach MD Dangut, IK Jennions, S King, Z Skaf Neural Computing and Applications 35 (4), 2991-3009, 2023 | 17 | 2023 |
A comparative study of linear observers applied to a DC servo motor AH Al-Bayati, Z Skaf Proceedings of the 2010 international conference on modelling …, 2010 | 14 | 2010 |
Handling imbalanced data for aircraft predictive maintenance using the BACHE algorithm MD Dangut, Z Skaf, IK Jennions Applied Soft Computing 123, 108924, 2022 | 12 | 2022 |
A simple state-based prognostic model for filter clogging Z Skaf, OF Eker, IK Jennions Procedia CIRP 38, 177-182, 2015 | 12 | 2015 |
Smart Green Campus: The Campus of Tomorrow H Abdulmouti, Z Skaf, S Alblooshi 2022 Advances in Science and Engineering Technology International …, 2022 | 10 | 2022 |
Anomaly detection of aircraft engine in FDR (flight data recorder) data CH Lee, HS Shin, A Tsourdos, Z Skaf IET Digital Library, 2017 | 10 | 2017 |