A neural network filtering approach for similarity-based remaining useful life estimation O Bektas, JA Jones, S Sankararaman, I Roychoudhury, K Goebel The International Journal of Advanced Manufacturing Technology 101 (1-4), 87–103, 2019 | 35 | 2019 |
Reducing dimensionality of multi-regime data for failure prognostics O Bektas, A Alfudail, JA Jones Journal of Failure Analysis and Prevention 17 (6), 1268-1275, 2017 | 15 | 2017 |
NARX time series model for remaining useful life estimation of gas turbine engines O Bektas, JA Jones Third European Conference of the Prognostics and Health Management Society, 1-10, 2016 | 10 | 2016 |
Comparison of Computational Prognostic Methods for Complex Systems Under Dynamic Regimes: A Review of Perspectives O Bektas, J Marshall, JA Jones Archives of Computational Methods in Engineering 27 (4), 999–1011, 2020 | 6 | 2020 |
Reconstructing secondary test database from PHM08 challenge data set O Bektas, JA Jones, S Sankararaman, I Roychoudhury, K Goebel Data in brief 21, 2464-2469, 2018 | 6 | 2018 |
An adaptive data filtering model for remaining useful life estimation O Bektas University of Warwick, 2018 | 6 | 2018 |
A neural network framework for similarity-based prognostics O Bektas, JA Jones, S Sankararaman, I Roychoudhury, K Goebel MethodsX 6, 383-390, 2019 | 4 | 2019 |
A Degradation Prognostic Framework for Gas Turbine Engines O Bektas, JA Jones The Twelfth International Conference on Condition Monitoring and Machinery …, 2015 | 2 | 2015 |
Data article O BEKTAS, JA Jonesa, S Sankararamanb, I Roychoudhuryc, K Goebeld | | 2018 |
Çok boyutlu turbofan motoru durum i̇zleme veri̇leri̇nde prognosti̇k uygulamalarının değerlendi̇ri̇lmesi̇ O Bektas VII. ULUSAL HAVACILIK VE UZAY KONFERANSI, Samsun, 2018 | | 2018 |
Narx Model in Gas Turbine Prognostics O Bektas Technical Presentation at WMG Research and Innovation Conference, Coventry UK, 2015 | | 2015 |
A Framework for Performance Metrics of Rotating Machinery Prognostics within Maintenance Free Operation Period O Bektas Poster presentation at WMG Research and Innovation Conference, Coventry UK, 2014 | | 2014 |