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Zakwan Skaf
Zakwan Skaf
Verified email at cranfield.ac.uk
Title
Cited by
Cited by
Year
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
592019
The state of the art in selective catalytic reduction control
Z Skaf, T Aliyev, L Shead, T Steffen
SAE International, 2014
432014
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
412021
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
372016
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
352018
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
312011
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
312011
The application of Bayesian change point detection in UAV fuel systems
O Niculita, Z Skaf, IK Jennions
Procedia CIRP 22, 115-121, 2014
262014
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
232019
Towards design of prognostics and health management solutions for maritime assets
O Niculita, O Nwora, Z Skaf
Procedia CIRP 59, 122-132, 2017
172017
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
152017
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
152016
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
132010
A simple state-based prognostic model for filter clogging
Z Skaf, OF Eker, IK Jennions
Procedia CIRP 38, 177-182, 2015
112015
A generalised methodology for the diagnosis of aircraft systems
CM Ezhilarasu, Z Skaf, IK Jennions
Ieee Access 9, 11437-11454, 2021
102021
Anomaly detection of aircraft engine in FDR (flight data recorder) data
CH Lee, HS Shin, A Tsourdos, Z Skaf
IET Digital Library, 2017
92017
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
82020
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
82014
Accommodating repair actions into gas turbine prognostics
Z Skaf, MA Zaidan, RF Harrison, AR Mills
Annual Conference of the PHM Society 5 (1), 2013
82013
Fault detection and diagnosis for general discrete-time stochastic systems using output probability density estimation
Z Skaf, AIB Ahmad, H Wang
2011 50th IEEE Conference on Decision and Control and European Control …, 2011
72011
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Articles 1–20