| 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 | 77 | 2019 |
| 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 | 24 | 2020 |
| Reducing dimensionality of multi-regime data for failure prognostics O Bektas, A Alfudail, JA Jones Journal of Failure Analysis and Prevention 17, 1268-1275, 2017 | 20 | 2017 |
| NARX time series model for remaining useful life estimation of gas turbine engines O Bektas, JA Jones PHM Society European Conference 3 (1), 2016 | 18 | 2016 |
| Automated emergency landing system for drones: SafeEYE project O Bektas, JN Pedersen, AR Gomez, A la Cour-Harbo 2020 international conference on unmanned aircraft systems (icuas), 1056-1064, 2020 | 13 | 2020 |
| Vibration analysis for anomaly detection in unmanned aircraft O Bektash, A la Cour-Harbo ANNUAL CONFERENCE OF THE PROGNOSTICS AND HEALTH MANAGEMENT SOCIETY 2020, 2020 | 10 | 2020 |
| A neural network framework for similarity-based prognostics O Bektas, JA Jones, S Sankararaman, I Roychoudhury, K Goebel MethodsX 6, 383-390, 2019 | 10 | 2019 |
| 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 | 10 | 2018 |
| An adaptive data filtering model for remaining useful life estimation O Bektas University of Warwick, 2018 | 8 | 2018 |
| Analyzing visual imagery for emergency drone landing on unknown environments O Bektash, JJ Naundrup, A la Cour-Harbo International Journal of Micro Air Vehicles 14, 17568293221106492, 2022 | 3 | 2022 |
| Kestirimci Bakım İçin Döner Mekanizma Bozulma Eğrisinin Tanımlanması O Bektaş Avrupa Bilim ve Teknoloji Dergisi, 420-428, 2020 | 3 | 2020 |
| Uçuş aşamalarının bölümlendirilmesi: Havacılık verilerinde gözetimsiz öğrenme uygulaması O Bektaş Afyon Kocatepe Üniversitesi Fen Ve Mühendislik Bilimleri Dergisi 20 (6 …, 2020 | 3 | 2020 |
| A Degradation Prognostic Framework for Gas Turbine Engines O Bektas, JA Jones The Twelfth International Conference on Condition Monitoring and Machinery …, 2015 | 3 | 2015 |
| First-order Layer in Artificial Pain Pathway O Bektash, A la Cour-Harbo Neural Processing Letters 55 (1), 319-343, 2023 | 1 | 2023 |
| A data-driven predictive maintenance model to estimate RUL in a multi-rotor UAS EC Ozkat, O Bektas, MJ Nielsen, A la Cour-Harbo International Journal of Micro Air Vehicles 15, 17568293221150171, 2023 | 1 | 2023 |
| Uçak İtki Takatinin Segmentasyonu O Bektas 8. ULUSAL HAVACILIK VE UZAY KONFERANSI, Ankara, 2020 | 1 | 2020 |
| Narx Model in Gas Turbine Prognostics O Bektas Technical Presentation at WMG Research and Innovation Conference, Coventry UK, 2015 | 1 | 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 | 1 | 2014 |
| Enhancing Signal Features for Degradation Analysis: A Linear Convolution Approach for Accelerated Testing O Bektas 2nd International Conference on Innovative Academic Studies, 2023 | | 2023 |
| Data article O BEKTAS, JA Jonesa, S Sankararamanb, I Roychoudhuryc, K Goebeld | | 2018 |
Indranil RoychoudhuryAI Scientist, Software Technology Innovation Center, SchlumbergerVerified email at slb.com
