Zakwan Skaf
Zakwan Skaf
Vahvistettu sähköpostiosoite verkkotunnuksessa cranfield.ac.uk
Nimike
Viittaukset
Viittaukset
Vuosi
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
342019
The application of Bayesian change point detection in UAV fuel systems
O Niculita, Z Skaf, IK Jennions
Procedia CIRP 22, 115-121, 2014
34*2014
The state of the art in selective catalytic reduction control
Z Skaf, T Aliyev, L Shead, T Steffen
SAE Technical Paper, 2014
322014
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
282011
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
282011
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
242016
The application of Bayesian change point detection in UAV fuel systems
O Niculita, Z Skaf, IK Jennions
Procedia CIRP 22, 115-121, 2014
222014
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
202018
Towards design of prognostics and health management solutions for maritime assets
O Niculita, O Nwora, Z Skaf
Procedia CIRP 59, 122-132, 2017
122017
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, 2017
112017
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
102021
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
102019
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
102010
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
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
72017
A simple state-based prognostic model for filter clogging
Z Skaf, OF Eker, IK Jennions
Procedia CIRP 38, 177-182, 2015
72015
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
An adaptive pi controller for non-gaussian stochastic systems
Z Skaf, AH Al-Bayati, H Wang
2010 8th World Congress on Intelligent Control and Automation, 832-837, 2010
62010
New application of data analysis using aircraft fault record data
CH Lee, HS Shin, A Tsourdos, Z Skaf
Journal of Aerospace Information Systems 15 (5), 297-306, 2018
42018
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Artikkelit 1–20