| 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 | 70 | 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 | 49 | 2021 |
| The state of the art in selective catalytic reduction control Z Skaf, T Aliyev, L Shead, T Steffen SAE Technical Paper, 2014 | 47 | 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 | 44 | 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 | 38 | 2016 |
| 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 | 34 | 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 | 34 | 2011 |
| 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 | 32 | 2019 |
| The application of Bayesian change point detection in UAV fuel systems O Niculita, Z Skaf, IK Jennions Procedia CIRP 22, 115-121, 2014 | 29 | 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 | 19 | 2022 |
| Towards design of prognostics and health management solutions for maritime assets O Niculita, O Nwora, Z Skaf Procedia CIRP 59, 122-132, 2017 | 19 | 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 generalised methodology for the diagnosis of aircraft systems CM Ezhilarasu, Z Skaf, IK Jennions Ieee Access 9, 11437-11454, 2021 | 15 | 2021 |
| 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 |
| A simple state-based prognostic model for filter clogging Z Skaf, OF Eker, IK Jennions Procedia CIRP 38, 177-182, 2015 | 11 | 2015 |
| 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 |
| A clustering approach to detect faults with multi-component degradations in aircraft fuel systems A Zaporowska, H Liu, Z Skaf, Y Zhao IFAC-PapersOnLine 53 (3), 113-118, 2020 | 8 | 2020 |
| Rescaled-LSTM for Predicting Aircraft Component Replacement Under Imbalanced Dataset Constraint MD Dangut, Z Skaf, I Jennions 2020 Advances in Science and Engineering Technology International …, 2020 | 8 | 2020 |
| State-based prognostics with state duration information of cracks in structures OF Eker, Z Skaf, F Camci, IK Jennions Procedia CIRP 22, 122-126, 2014 | 8 | 2014 |
