| A Fuzzy Logic Based Approach for Deciding the Corrective Action to Minimize Vibration Induced Fatigue Damage on Offshore Pipework A Keprate, RMC Ratnayake Industrial Engineering and Engineering Management (IEEM), 2016 IEEE …, 2016 | 1 | 2016 |
| A Surrogate Model for Predicting Stress Intensity Factor: An Application to Oil and Gas Industry A Keprate, RMC Ratnayake, S Sankararaman International Conference on Offshore Mechanics and Arctic Engineering 57687 …, 2017 | 12 | 2017 |
| A web based solution to track trawl vessel activities over pipelines in Norwegian Continental Shelf M farmanbar, A Palanisamy, AB Høydal, A Keprate, G Haug IOP COTech Conference 700, 1-10, 2019 | 2 | 2019 |
| Adaptive Gaussian process regression as an alternative to FEM for prediction of stress intensity factor to assess fatigue degradation in offshore pipeline A Keprate, RMC Ratnayake, S Sankararaman International Journal of Pressure Vessels and Piping, 2017 | 43 | 2017 |
| Analysing the Effect of Additional Instrumentation on Prediction of COD Removal in the Hias Process TM Komulainen, KM Jansen, A Keprate International Conference on Wider-Uptake of Water Resource Recovery from …, 2024 | | 2024 |
| Appraisal of riser concepts for FPSO in Deepwater A Keprate University of Stavanger, Norway, 2014 | 8 | 2014 |
| Appraising the Module Deployment Operation in the RLWI Units A Keprate, MA Mohammed Journal of Shipping and Ocean Engineering 6, 82-94, 2016 | 1 | 2016 |
| Architecture for Digital Spare-Parts Library: Use of Additive Layer Manufacturing in the Petroleum Industry RM Chandima Ratnayake, A Keprate, R Wdowik Advances in Production Management Systems. Production Management for the …, 2019 | 4 | 2019 |
| Artificial intelligence based approach for predicting fatigue strength using composition and process parameters A Keprate, RMC Ratnayake International Conference on Offshore Mechanics and Arctic Engineering 84348 …, 2020 | 4 | 2020 |
| Assessing the Riser Concepts for a Deepwater FPSO A Keprate LAMBERT Academic Publishing, 2016 | | 2016 |
| Assessment of Reliability and Remaining Fatigue Life of Topside Piping Using Dynamic Bayesian Network A Keprate, RMC Ratnayake IEEE IEEM, 2019 | 2 | 2019 |
| CFD simulations of flow jetting impact and high erosion region in a production choke and its downstream spool A Perinpasivam, N Bagalkot, A Keprate Scandinavian Simulation Society, 393-397, 2022 | | 2022 |
| Characterizing Damage in Wind Turbine Mooring Using a Data-Driven Predictor Model within a Particle Filtering Estimation Framework R Kumar, A Thakur, OA Shereena, A Keprate, S Sen PHM Society European Conference 8 (1), 8-8, 2024 | | 2024 |
| Combining computational fluid dynamics and gradient boosting regressor for predicting force distribution on horizontal axis wind turbine N Bagalkot, A Keprate, R Orderløkken Vibration 4 (1), 248-262, 2021 | 15 | 2021 |
| Comparing Deep Learning Based Image Processing Techniques for Unsupervised Anomaly Detection in Offshore Wind Turbines A Keprate, S Sheikhi, MS Siddiqui, M Tanwar 2023 IEEE International Conference on Industrial Engineering and Engineering …, 2023 | | 2023 |
| COMPARING DIFFERENT METAMODELLING APPROACHES TO PREDICT STRESS INTENSITY FACTOR OF A SEMI-ELLIPTIC CRACK A Keprate, S Sankararaman, RMC Ratnayake OMAE 2017, 2017 | 13 | 2017 |
| Comparison of various surrogate models to predict stress intensity factor of a crack propagating in offshore piping A Keprate, RM Chandima Ratnayake, S Sankararaman Journal of Offshore Mechanics and Arctic Engineering 139 (6), 061401, 2017 | 20 | 2017 |
| Data Mining for Estimating Fatigue Strength Based on Composition and Process Parameters A Keprate, RMC Ratnayake ASME 2019 38th International Conference on Ocean, Offshore and Arctic …, 2019 | 7 | 2019 |
| Data-driven approaches for deriving a soft sensor in a district heating network AJ Frafjord, JP Radicke, A Keprate, TM Komulainen Energy 292, 130426, 2024 | 1 | 2024 |
| Determining the Degree of Fuzziness for Fuzzy- AHP Methodology used for Identifying Fatigue Critical Piping Locations for Inspection A Keprate, RMC Ratnayake IEEE International Conference on Intelligent Engineering Systems,, 165-170, 2016 | 14 | 2016 |
R.M. Chandima RatnayakeProfessor, University of Stavanger在 uis.no 的电子邮件经过验证
