Martha Arbayani Zaidan
TitleCited byYear
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
412015
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
392016
Bayesian framework for aerospace gas turbine engine prognostics
MA Zaidan, AR Mills, RF Harrison
2013 IEEE Aerospace Conference, 1-8, 2013
242013
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
212015
Dynamic modelling and control of a twin-rotor system using adaptive neuro-fuzzy inference system techniques
M Omar, MA Zaidan, MO Tokhi
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of …, 2012
82012
Modelling of a flexible manoeuvring system using ANFIS techniques
M Omar, MA Zaidan, MO Tokhi
2010 12th International Conference on Computer Modelling and Simulation, 33-38, 2010
82010
Fusing an ensemble of diverse prognostic life predictions
OW Laslett, AR Mills, MA Zaidan, RF Harrison
2014 IEEE Aerospace Conference, 1-10, 2014
62014
Accommodating repair actions into gas turbine prognostics
Z Skaf, MA Zaidan, RF Harrison, AR Mills
PHM Society, 2013
62013
Curating scientific information in knowledge infrastructures
M Stocker, P Paasonen, M Fiebig, MA Zaidan, A Hardisty
Data Science Journal, 2018
52018
Neural network classifier on time series features for predicting atmospheric particle formation days
MA Zaidan, V Haapsilta, R Relan, H Junninen, P Aalto, FF Canova, ...
Proceedings of the 20th International Conference on Nucleation and …, 2017
42017
The Adaptive Control of FES-assisted Indoor Rowing Exercise
Z Hussain, MA Zaidan, MO Tokhi, R Jailani
Proceedings of 2009 CACS International Automatic Control Conference, 2009
42009
Exploring non-linear associations between atmospheric new-particle formation and ambient variables: a mutual information approach
MA Zaidan, V Haapasilta, R Relan, P Paasonen, VM Kerminen, ...
Atmospheric Chemistry and Physics 18 (17), 12699-12714, 2018
32018
Mixture of Clustered Bayesian Neural Networks for Modeling Friction Processes at the Nanoscale
MA Zaidan, FF Canova, L Laurson, AS Foster
Journal of chemical theory and computation 13 (1), 3-8, 2017
32017
Prognostics of lithium-ion batteries using a deterministic Bayesian approach
F Zheng, J Jiang, MA Zaidan, W He, M Pecht
2015 IEEE Conference on Prognostics and Health Management (PHM), 1-4, 2015
32015
An on-line approach for ANFIS modelling and control of a flexible manoeuvring system
M Omar, M Mohamad, MA Zaidan, MO Tokhi
2011 IEEE International Conference on Mechatronics, 324-329, 2011
32011
Indoor air quality monitoring using infrastructure-based motion detectors
NH Motlagh, MA Zaidan, E Lagerspetz, S Varjonen, J Toivonen, ...
2019 IEEE 17th International Conference on Industrial Informatics (INDIN …, 2019
22019
Predicting atmospheric particle formation days by Bayesian classification of the time series features
MA Zaidan, V Haapasilta, R Relan, H Junninen, PP Aalto, M Kulmala, ...
Tellus B: Chemical and Physical Meteorology 70 (1), 1-10, 2018
22018
Bayesian approaches for complex system prognostics
Zaidan, Martha A
University of Sheffield, 2014
22014
Hybrid intelligent control for set-point tracking of a flexible manoeuvring system using sigmoid activation function
ME Omar, FM Aldebrez, MA Zaidan, MO Tokhi
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of …, 2013
22013
Towards enhanced prognostics with advanced data-driven modelling
MA Zaidan, AR Mills, RF Harrison
Proceedings of The Eighth International Conference on Condition Monitoring …, 2011
22011
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Articles 1–20