| A simple state-based prognostic model for railway turnout systems OF Eker, F Camci, A Guclu, H Yilboga, M Sevkli, S Baskan IEEE Transactions on Industrial Electronics 58 (5), 1718-1726, 2011 | 138 | 2011 |
| Major challenges in prognostics: Study on benchmarking prognostics datasets OF Eker, F Camci, IK Jennions PHM Society European Conference 1 (1), 2012 | 104 | 2012 |
| SVM based diagnostics on railway turnouts OF Eker, F Camci, U Kumar International Journal of Performability Engineering 8 (3), 289, 2012 | 59 | 2012 |
| Failure prediction on railway turnouts using time delay neural networks H Yilboga, ÖF Eker, A Güçlü, F Camci 2010 IEEE International conference on computational intelligence for …, 2010 | 57 | 2010 |
| Physics-based prognostic modelling of filter clogging phenomena OF Eker, F Camci, IK Jennions Mechanical Systems and Signal Processing 75, 395-412, 2016 | 42 | 2016 |
| A Similarity-based Prognostics Approach for Remaining Useful Life Prediction OF Eker, F Camci, IK Jennions | 40 | 2014 |
| Prognostics with Autoregressive Moving Average for Railway Turnouts A Guclu, H Yılboga, OF Eker, F Camci, I Jennions | 40 | 2010 |
| Comparison of sensors and methodologies for effective prognostics on railway turnout systems F Camci, OF Eker, S Başkan, S Konur Proceedings of the Institution of Mechanical Engineers, Part F: Journal of …, 2016 | 38 | 2016 |
| State‐based prognostics with state duration information OF Eker, F Camci Quality and Reliability Engineering International 29 (4), 465-476, 2013 | 29 | 2013 |
| Failure diagnostics on railway turnout systems using support vector machines OF Eker, F Camci, U Kumar International Workshop and Congress on eMaintenance: 22/06/2010-24/06/2010 …, 2010 | 21 | 2010 |
| A new hybrid prognostic methodology OF Eker, F Camci, IK Jennions International Journal of Prognostics and Health Management 10 (2), 2019 | 20 | 2019 |
| Filter Clogging Data Collection for Prognostics OF Eker, F Camci, IK Jennions | 17 | 2013 |
| Adaptive degradation prognostic reasoning by particle filter with a neural network degradation model for turbofan jet engine F Khan, OF Eker, A Khan, W Orfali Data 3 (4), 49, 2018 | 11 | 2018 |
| A simple state-based prognostic model for filter clogging Z Skaf, OF Eker, IK Jennions Procedia CIRP 38, 177-182, 2015 | 11 | 2015 |
| A hybrid prognostic methodology and its application to well-controlled engineering systems ÖF Eker Cranfield University, 2015 | 9 | 2015 |
| Physics-Based Degradation Modelling for Filter Clogging OF Eker, F Camci, IK Jennions | 9 | 2014 |
| 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 |
| Multi-domain modeling and simulation of an aircraft system for advanced vehicle-level reasoning research and development F Khan, OF Eker, T Sreenuch, A Tsourdos International Journal of Advanced Computer Science and Applications 5 (4), 86-96, 2014 | 8 | 2014 |
| Prognostics control of cracking in structures and components operating in hydrogen environments P Irving, O Eker, F Camci Proc. Int. Hydrogen Conf, 66, 2012 | 7 | 2012 |
| Classification of Uncertain Data Streams Using Modified K-Nearest Neighbor Method: A Case Study on Railway Turnouts A Guclu, H Yilboga, OF Eker, F Camci | 7 | 2010 |
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