Arvind Keprate

Tilhørighet

Dr. Arvind Keprate received his B.Tech in Mechanical Engineering (2007) from Himachal Pradesh University, M.Sc. in Marine & Subsea Technology (2014), and Ph.D. (2017), in Offshore Engineering from the University of Stavanger, Norway. During his Ph.D. he was a visiting researcher at the Prognostics Center of Excellence, NASA Ames Research Center, USA, where he developed a surrogate model (using machine learning and deep learning) to predict the stress intensity factor (SIF) for various crack sizes and loading conditions.

He is currently a Professor at Oslo Metropolitan University where he teaches various Design-related courses such as Machine Design, Process & Piping Design, and Sustainable Design to Mechanical Engineering students. He also teaches various courses related to Machine Learning, Probability & Statistics, Data Analytics, and Python at Kristiania University College in Oslo. He is also the Leader of the Mechanics, Mechatronics, and Materials Technology (M3T) Research Group at OsloMet and also the Project Manager for the GrønnMet lab. Besides this, he is also a member of the Doctoral Committee at the faculty.

Dr. Keprate has over 10 years of industrial experience (Reliance Industries Limited, DNV) as a pipeline engineer, with expertise in fatigue analysis, fitness-for-service (FFS) assessment, asset integrity, and risk/reliability engineering. He is also an accomplished researcher specializing in the application of machine learning and probabilistic techniques to Condition Monitoring, Prognostics, Reliability Modelling, and Integrity Assessment of engineering assets. Currently, his research is focused on PHM of complex Socio-Ecological Technical Systems such as Wind Farms.

Dr. Keprate has been awarded research grants from funding agencies, including the Research Council of Norway (RCN), Norwegian Directorate for Higher Education and Skills (HK-dir), Norwegian AI Research Consortium (NORA), and RegionaleForskningFond (RFF).

Dr. Keprate also serves as an Associate Editor for the International Journal of System Assurance Engineering and Management, Springer-Nature, and has been a topic editor for a Special Issue on “Online Monitoring of Wind Power Plants Using Digital TwinModels”, Frontiers in Energy Research.

Publikasjoner og forskningsresultater

Vitenskapelige publikasjoner (80)

Mian, Haris Hameed; Machot, Fadi Al; Keprate, Arvind; Ullah, Habib; Stoevesandt, B.; Siddiqui, Muhammad Salman (2026). Learning wake perturbations of floating wind turbines using motion-conditioned neural network. Ocean Engineering. Vol. 369
Parveen, Shahnaz; Keprate, Arvind; Wu, Changsheng; Muhtaroglu, Ali (2026). Modeling, fast-prototyping and testing of a stacked-fin triboelectric module using biodegradable materials and scalable structural design. Energy Reports. Vol. 16
Rathore, Paarth Singh; Keprate, Arvind; Lakshmi, L. Rajya; Mohammed, Omar D.; Ghose, Debasish (2026). A Two-Stage Machine Learning Approach for Quantitative Gear Crack Detection Using Vibration Signal Analysis. Proceedings of the European Conference of the Prognostics and Health Management Society (PHME). Vol. 9. s. 10-10
Kouaissah, Otman; Franchina, N.; Keprate, Arvind; Mian, Haris Hameed; Siddiqui, Muhammad Salman (2026). Gaussian Process-based surrogate modeling for aerodynamic performance prediction of upright and tilted VAWTs. Ocean Engineering. Vol. 360
Arya, Adarsh; Kumar, Rohit; Keprate, Arvind; Sen, Subhamoy (2026). Real-Time Monitoring of Clump Weight Integrity Loss in Floating Wind Turbines via Deep Learning. Journal of Dynamics, Monitoring and Diagnostics. Vol. 5. s. 38-48
Garg, Paras; Keprate, Arvind; Soni, Gunjan; Rathore, A. P.S.; Yadav, O. P. (2025). Fault Detection in Wind Turbine Bearings by Coupling Knowledge Graph and Machine Learning Approach. Journal of Dynamics, Monitoring and Diagnostics. Vol. 4. s. 250-263
Garg, Paras; Soni, Gunjan; Keprate, Arvind; Yadav, O. P.; Rathore, A. P.S. (2025). Reliability assessment of supply chain digital twin: an integrated Markov Chain and Bayesian Network approach. Life Cycle Reliability and Safety Engineering. Vol. 14. s. 665-678
Singh, Maneesh; Runkana, Venkataramana; Øvsthus, Knut; Keprate, Arvind; Kampen, Anne-Lena (2025). Development of Human Cognition Inspired Digital Twins for Optimized Performance of Process Equipment. Singh, Maneesh; Soni, Gunjan; Sinha, Jyoti; Ball, Andrew D.; Gu, Fengshou; Ouyang, Huajiang (Red.). Proceedings of the UNIfied Conference of DAMAS, IncoME VIII and TEPEN Conferences. Springer Nature Switzerland
Mian, Haris Hameed; Machot, Fadi Al; Ullah, Habib; Keprate, Arvind; Siddiqui, Muhammad Salman (2025). Advances in computational intelligence for floating offshore wind turbines aerodynamics: Current state review and future potential. Renewable and Sustainable Energy Reviews. Vol. 224. s. 1-26
Kumar, Rohit; Prasad, Kala J.; Keprate, Arvind; Sen, Subhamoy (2025). Addressing material uncertainty in reliability analysis of floating offshore mooring through probabilistic meta-model developed with Stochastic Kriging technique. Ocean Engineering. Vol. 335
Chauhan, Shivani; Solanki, Preeti; Putatunda, Chayanika; Walia, Abhishek; Keprate, Arvind; Bhatt, Arvind Kumar; Thakur, Vijay Kumar; Bhatia, Ravi Kant (2025). Recent advancements in biomass to bioenergy management and carbon capture through artificial intelligence integrated technologies to achieve carbon neutrality. Sustainable Energy Technologies and Assessments. Vol. 73
Kumar, Rohit; Sen, Subhamoy; Keprate, Arvind (2025). Real-time fatigue assessment of Floating Offshore Wind Turbine Mooring employing sequence-to-sequence-based deep learning on indirect fatigue response. Ocean Engineering. Vol. 315
Awan, Usama; Keprate, Arvind; Braathen, Petter (2025). A Conceptual Framework of An Integrative Leadership for Cybersecurity Management and Designing Digital Road Map for Organizations. Behl, Abhishek; Sampat, Brinda (Red.). Digital Transformation: A Business Imperative. Routledge
Baniya, Jenish; Dai, Jian; Jiang, Zhiyu; Zhang, Chi; Keprate, Arvind (2025). Effect of Mooring Pretension Force of a Soft-Connected Floating Photovoltaic System Under Regular Waves. Zhao, Xiao Lin; Dai, Jian-Guo; Liu, Siwei; Lim, Soon Heng (Red.). Proceedings of the Fourth World Conference on Floating Solutions: WCFS 2024; 2–4 December; Hong Kong. Springer Nature
Komulainen, Tiina M.; Marsteng, Jansen Katrine; Keprate, Arvind (2024). Analysing the Effect of Additional Instrumentation on Prediction of COD Removal in the Hias Process. Lecture Notes in Civil Engineering. Vol. 524. s. 400-405
Siddiqui, Muhammad Salman; Waheed, Abdul Waheed; Yang, Liang; Saeed, Muhammed; Keprate, Arvind (2024). Qualitative Investigation of Wake Composition in Offshore Wind Turbines: A Combined Computational and Statistical Analysis of Inner and Outer Blade Sections. E3S Web of Conferences. Vol. 487
Frafjord, Aksel Johan; Radicke, Jan-Philip; Keprate, Arvind; Komulainen, Tiina (2024). Data-driven approaches for deriving a soft sensor in a district heating network. Energy. Vol. 292
Mian, Haris Hameed; Siddiqui, Muhammad Salman; Keprate, Arvind; Mathew, Sathyajith (2024). Predictive Modeling of Semi-Submersible Floater Motion Using Bi-LSTM Model. Journal of Physics: Conference Series (JPCS). Vol. 2875
Keprate, Arvind; Kilskar, Stine Skaufel; Andrews, Pete (2024). Towards Efficient Operation and Maintenance of Wind Farms: Leveraging AI for Minimizing Human Error. Proceedings of the European Conference of the Prognostics and Health Management Society (PHME). Vol. 8. s. 869-877
Sheikhi, Saeid; Keprate, Arvind; Ghose, Debasish (2024). Wind Turbine Gearbox Anomaly Detection Using Signal-to-Image Processing Algorithms and Convolutional Autoencoder. Journal of Physics: Conference Series (JPCS). Vol. 2875
Kumar, Rohit; Thakur, Ananay; OA, Shereena; Keprate, Arvind; Sen, Subhamoy (2024). Characterizing Damage in Wind Turbine Mooring Using a Data-Driven Predictor Model within a Particle Filtering Estimation Framework. Proceedings of the European Conference of the Prognostics and Health Management Society (PHME). s. 236-243
Sharma, Nikhil; Saraswat, Chirag; Sharma, Jeetesh; Mittal, Murari Lal; Keprate, Arvind (2024). Multi-Objective Optimization for Economic and Environmental Sustainability in Apparel E-commerce Reverse Logistics. International Journal of Mathematical, Engineering and Management Sciences. Vol. 9. s. 111-128
Sharma, Jeetesh; Mittal, Murari Lal; Soni, Gunjan; Keprate, Arvind (2024). Explainable Artificial Intelligence (XAI) Approaches in Predictive Maintenance: A Review. Recent Patents on Engineering. Vol. 18. s. 18-26
Komulainen, Tiina M.; Baqeri, A. Malik; Jansen, Katrine M.; Keprate, Arvind (2024). Comparison of ML and ASM models for effluent nutrient estimation in the Hias Process. Linköping Electronic Conference Proceedings. s. 242-248
Keprate, Arvind (2023). LIMITATIONS AND OPPORTUNITIES IN PHM FOR OFFSHORE WIND FARMS: A SOCIO-TECHNICAL-ECOLOGICAL SYSTEM PERSPECTIVE. Kulkarni, Chetan; Roychoudhury, Indranil (Red.). PROCEEDINGS OF THE ANNUAL CONFERENCE OF THE PHM SOCIETY 2023. PHM society
Keprate, Arvind; Bagalkot, Nikhil; Siddiqui, Muhammad Salman; Sen, Subhamoy (2023). Reliability analysis of 15MW horizontal axis wind turbine rotor blades using fluid-structure interaction simulation and adaptive kriging model. Ocean Engineering. Vol. 288
Bindingsbø, Oliver Trygve; Singh, Maneesh; Øvsthus, Knut; Keprate, Arvind (2023). Fault detection of a wind turbine generator bearing using interpretable machine learning. Frontiers in Energy Research. Vol. 11
Siddiqui, Muhammad Salman; Keprate, Arvind; Yang, Liang; Malmedal, Tiril (2023). Towards an Integrative Framework for Digital Twins in Wind Power. ., . (Red.). IEEM 2023 IEEE International Conference on Industrial Engineering and Engineering Management Singapore 18 - 21 December 2023. IEEE (Institute of Electrical and Electronics Engineers)
Keprate, Arvind; Sheikhi, Saeid; Siddiqui, Muhammad Salman; Tanwar, Monika (2023). Comparing Deep Learning Based Image Processing Techniques for Unsupervised Anomaly Detection in Offshore Wind Turbines. ., . (Red.). IEEM 2023 IEEE International Conference on Industrial Engineering and Engineering Management Singapore 18 - 21 December 2023. IEEE (Institute of Electrical and Electronics Engineers)
Keprate, Arvind; Woodford, Sam; Borrajo, Rafael (2023). From Theory to Practice Leveraging Project Based Learning to Cultivate Student Engagement in Mechanical Engineering Education. ., . (Red.). IEEM 2023 IEEE International Conference on Industrial Engineering and Engineering Management Singapore 18 - 21 December 2023. IEEE (Institute of Electrical and Electronics Engineers)
Mian, Haris Hameed; Siddiqui, Muhammad Salman; Yang, Liang; Keprate, Arvind; Badar, Abdul Waheed (2023). Effect of leading-edge erosion on the performance of offshore horizontal axis wind turbine using BEM method. Journal of Physics: Conference Series (JPCS). Vol. 2626
Komulainen, Tiina M.; Baqeri, A. Malik; Nermo, Einar; Keprate, Arvind; Saltnes, Torgeir; Jansen, Katrine M.; Korostynska, Olga (2023). Estimation of effluent nutrients in municipal MBBR process. Linköping Electronic Conference Proceedings
Keprate, Arvind; Bagalkot, Nikhil (2022). Use of digital twins for process safety management. Khan, Faisal (Red.). Methods to Assess and Manage Process Safety in Digitalized Process System Volume 6,. Academic Press
Chauhan, Sanjana; Keprate, Arvind (2022). Standards, Ethics, Legal Implications & Challenges of Artificial Intelligence. ., . (Red.). 2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) 7-10 Dec 2022. IEEE (Institute of Electrical and Electronics Engineers)
Keprate, Arvind; Bagalkot, Nikhil (2022). Prognostics for Small Bore Piping Undergoing Fatigue Degradation. ., . (Red.). 2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) 7-10 Dec 2022. IEEE (Institute of Electrical and Electronics Engineers)
Keprate, Arvind; Bagalkot, Nikhil; Mohammadi, Mohammad Reza Shah; Horn, Agnes Marie (2022). SIMULATION OF WIND FLOW AROUND THE TERRAIN OF A HIGH-ALTITUDE TRANSMISSION TOWER: A CASE STUDY OF SAURDAL ACCIDENT. ASME, . (Red.). ASME 2022 41st International Conference on Ocean, Offshore and Arctic Engineering Volume 7: CFD and FSI. The American Society of Mechanical Engineers (ASME)
Keprate, Arvind; Bagalkot, Nikhil; perinpasivam, Agastian (2022). CFD Simulations of Flow Jetting Impact and High Erosion Region in a Production Choke and its Downstream Spool. Nord, Lars O.; Komulainen, Tiina M.; Netzer, Corinna; Mirlekar, Gaurav; Dongmo-Engeland, Berthe; Eriksson, Lars (Red.). Proceedings of the 63rd International Conference of Scandinavian Simulation Society, SIMS 2022, Trondheim, Norway, September 20-21, 2022. Linköping University Electronic Press
Tiwari, Parul; Bhardwaj, Piyush; Keprate, Arvind; Tyagi, Ashish (2022). Breast Cancer Survival Prediction Using Machine Learning. Studies in Computational Intelligence. Vol. 1016. s. 143-158
P.S., Pavan; Keprate, Arvind; Bagalkot, Nikhil; P, Sivasankar (2022). Predicting performance of in-situ microbial enhanced oil recovery process and screening of suitable microbe-nutrient combination from limited experimental data using physics informed machine learning approach. Bioresource Technology. Vol. 351. s. 1-11
Bagalkot, Nikhil; Keprate, Arvind (2021). Machine Learning Approach to Estimate the Diffusion Coefficient of CO2 in Hydrocarbons. ASME, Digital Collection (Red.). ASME 2021 40th International Conference on Ocean, Offshore and Arctic Engineering Volume 10: Petroleum Technology. The American Society of Mechanical Engineers (ASME)
Keprate, Arvind; Donthi, Nikhil (2021). Prediction of stress correction factor for welded joints using response surface sdels. ASME, Digital Collection (Red.). ASME 2021 40th International Conference on Ocean, Offshore and Arctic Engineering Volume 2: Structures, Safety, and Reliability. The American Society of Mechanical Engineers (ASME)
Chatterjee, Supratik; Keprate, Arvind (2021). Exploratory Data Analysis of the N-CMAPSS Dataset for Prognostics. IEEE International Conference on Industrial Engineering and Engineering Management. Vol. 15
Keprate, Arvind (2021). Kvasir-Instruments and Polyp Segmentation Using UNet. Nordic Machine Intelligence (NMI). Vol. 1
Keprate, Arvind; Chatterjee, Supratik (2021). Predicting Remaining Fatigue Life of Topside Piping Using Deep Learning. Colomo-Palacios, Ricardo; Ripon, Kazi Shah Nawaz (Red.). Proceedings of the International Conference on Applied Artificial Intelligence (ICAPAI) 2021. IEEE (Institute of Electrical and Electronics Engineers)
Bagalkot, Nikhil; Keprate, Arvind; Orderløkken, Rune (2021). Combining Computational Fluid Dynamics and Gradient Boosting Regressor for Predicting Force Distribution on Horizontal Axis Wind Turbin. Vibration. Vol. 4. s. 248-262
Garg, Paras; Patil, Amitkumar; Soni, Gunjan; Keprate, Arvind; Arora, Seemant (2021). Machine learning-based abnormality detection approach for vacuum pump assembly line. Reliability: Theory & Applications. Vol. 16. s. 176-187
Keprate, Arvind; MUDIYANSELAGE, Chandima RATNAYAKE (2020). Artificial Intelligence Based Approach for Predicting Fatigue Strength Using Composition and Process Parameters. NN, NN (Red.). ASME 2020 39th International Conference on Ocean, Offshore and Arctic Engineering - Volume 3: Materials Technology. The American Society of Mechanical Engineers (ASME)
Keprate, Arvind; Moslemian, Ramin (2020). Multiscale Damage Modelling of Composite Materials Using Bayesian Network. Lecture Notes in Civil Engineering. Vol. 110. s. 135-150
Keprate, Arvind; Kumar, Gaurav Thakur (2020). Use of Analytical Hierarchy Process in Selecting the Optimum Equipment for Execution at a Construction Project. IEEE, . (Red.). 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE (Institute of Electrical and Electronics Engineers)
Bhardwaj, Sachin; MUDIYANSELAGE, Chandima RATNAYAKE; Keprate, Arvind; Ficquet, Xavier (2020). Machine learning approach for estimating residual stresses in girth welds of topside piping. NN, NN (Red.). ASME 2020 39th International Conference on Ocean, Offshore and Arctic Engineering - Volume 3: Materials Technology. The American Society of Mechanical Engineers (ASME)
Bhardwaj, Sachin; MUDIYANSELAGE, Chandima RATNAYAKE; Keprate, Arvind (2020). Review of Weld Quality Classification Standard and Post Weld Fatigue Life Improvement Methods for Welded Joints. Lecture Notes in Civil Engineering. Vol. 110. s. 257-270
Keprate, Arvind; MUDIYANSELAGE, CHANDIMA RATNAYAKE RATNAYAKE; Sankararaman, Shankar (2019). Experimental Validation of the Adaptive Gaussian Process Regression Model Used for Prediction of Stress Intensity Factor as an Alternative to Finite Element Method. Journal of Offshore Mechanics and Arctic Engineering. Vol. 141
Keprate, Arvind; MUDIYANSELAGE, Chandima RATNAYAKE (2019). Use of Bayesian Network for Risk-Based Fatigue Integrity Assessment : Application for Topside Piping in an Arctic Environment. International Journal of Offshore and Polar Engineering. Vol. 29. s. 421-428
Keprate, Arvind; MUDIYANSELAGE, Chandima RATNAYAKE (2019). Data Mining for Estimating Fatigue Strength Based on Composition and Process Parameters. NN, NN (Red.). ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering (OMAE2019): Volume 4: Materials Technology. The American Society of Mechanical Engineers (ASME)
Keprate, Arvind; MUDIYANSELAGE, Chandima RATNAYAKE (2019). Assessment of reliability and remaining fatigue life of topside piping using dynamic bayesian network. Song, Yonghua; Chai, Kah Hin; Yang, Zhixin; Jiao, Roger; Xie, Min (Red.). Proceedings of the 2019 IEEE International Conference on Industrial Engineering and Engineering Management. IEEE (Institute of Electrical and Electronics Engineers)
MUDIYANSELAGE, CHANDIMA RATNAYAKE RATNAYAKE; Keprate, Arvind; Wdowik, Roman (2019). Architecture for Digital Spare-Parts Library: Use of Additive Layer Manufacturing in the Petroleum Industry. IFIP Advances in Information and Communication Technology. Vol. 566. s. 537-545
Farmanbar, Mina; Palanisamy, Anandhakumar; Høydal, Anne Britt; Keprate, Arvind; Haug, Gjermund (2019). A web based solution to track trawl vessel activities over pipelines in Norwegian Continental Shelf. IOP Conference Series: Materials Science and Engineering. Vol. 700
Keprate, Arvind; MUDIYANSELAGE, Chandima RATNAYAKE (2019). Vibration induced fatigue integrity evaluation of small bore piping using belief network. ISOPE - International Offshore and Polar Engineering Conference. Proceedings. Vol. 4. s. 3986-3992
Keprate, Arvind; MUDIYANSELAGE, CHANDIMA RATNAYAKE RATNAYAKE (2018). Remaining Fatigue Life Prediction of Topside Piping Using Response Surface Models. Sirihongthong, Tritos; Chai, Kah Hin; Xie, Min; Jiao, Roger (Red.). Proceedings of the 2018 IEEE International Conference on Industrial Engineering and Engineering Management. IEEE (Institute of Electrical and Electronics Engineers)
Keprate, Arvind; MUDIYANSELAGE, CHANDIMA RATNAYAKE RATNAYAKE (2018). Risk-based approach for fatigue integrity assessment of offshore piping in the arctic environment. ISOPE - International Offshore and Polar Engineering Conference. Proceedings. Vol. 2018-June. s. 243-250
Keprate, Arvind; MUDIYANSELAGE, CHANDIMA RATNAYAKE RATNAYAKE (2018). Riser Concept Selection for FPSO in Deepwater Norwegian Sea: A Case Study. NN, . (Red.). ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering - Volume 1: Offshore Technology -. The American Society of Mechanical Engineers (ASME)
Keprate, Arvind; MUDIYANSELAGE, CHANDIMA RATNAYAKE RATNAYAKE; Sankararaman, Shankar (2018). Validation of Adaptive Gaussian Process Regression Model Used for SIF Prediction. NN, . (Red.). ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering - Volume 1: Offshore Technology -. The American Society of Mechanical Engineers (ASME)
Keprate, Arvind; Ratnayake, R.M. Chandima (2017). Generic Approach for Risk Assessment of Offshore Piping Subjected to Vibration Induced Fatigue. ASCE-ASME J of Risk & Uncertainty in Engineering SystemsPart B: Mechanical Engineering. Vol. 4
Keprate, Arvind; Ratnayake, R.M. Chandima; Sankararaman, Shankar (2017). Adaptive Gaussian process regression as an alternative to FEM for prediction of stress intensity factor to assess fatigue degradation in offshore pipeline. International Journal of Pressure Vessels and Piping. Vol. 153. s. 45-58
Keprate, Arvind; Ratnayake, R.M. Chandima; Sankararaman, Shankar (2017). A Surrogate Model for Predicting Stress Intensity Factor: An Application to Oil and Gas Industry. NN, NN (Red.). ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering - Volume 4: Materials Technology. The American Society of Mechanical Engineers (ASME)
Keprate, Arvind; Ratnayake, R.M. Chandima; Sankararaman, Shankar (2017). Comparison of Various Surrogate Models to Predict Stress Intensity Factor of a Crack Propagating in Offshore Piping. Journal of Offshore Mechanics and Arctic Engineering. Vol. 139
Keprate, Arvind; Ratnayake, R.M. Chandima; Sankararaman, Shankar (2017). Minimizing Hydrocarbon Release from Offshore Piping by Performing Probabilistic Fatigue Life Assessment. Process Safety and Environmental Protection (PSEP). Vol. 106. s. 34-51
Keprate, Arvind; Ratnayake, R.M. Chandima (2017). Using Gradient Boosting Regressor to Predict Stress Intensity Factor of a Crack Propagating in Small Bore Piping. ., , (Red.). 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) : 10-13 Dec, Singapore. IEEE (Institute of Electrical and Electronics Engineers)
Keprate, Arvind; Ratnayake, R.M. Chandima; Sankararaman, Shankar (2017). Comparing Different Metamodelling Approaches to Predict Stress Intensity Factor of a Semi-Elliptic Crack. NN, NN (Red.). ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering - Volume 4: Materials Technology. The American Society of Mechanical Engineers (ASME)
Keprate, Arvind; Ratnayake, R.M. Chandima (2016). Enhancing offshore process safety by selecting fatigue critical piping locations for inspection using Fuzzy-AHP based approach. Process Safety and Environmental Protection (PSEP). Vol. 102. s. 71-84
Keprate, Arvind; Ratnayake, R.M. Chandima (2016). A Fuzzy Logic Based Approach for Deciding the Corrective Action to Minimize Vibration Induced Fatigue Damage on Offshore Pipework. IEEE International Conference on Industrial Engineering and Engineering Management. s. 1370-1374
Keprate, Arvind; Ratnayake, R.M. Chandima (2016). Selecting a Modeling Approach for Predicting Remnant Fatigue Life of Offshore Topside Piping. IEEE International Conference on Industrial Engineering and Engineering Management. s. 1407-1411
Keprate, Arvind; Ratnayake, R.M. Chandima (2016). Selecting Fatigue Critical Inspection Location of Offshore Topside Piping Using Fuzzy-AHP Framework. Rudas, Imre J.; Sincak, Peter (Red.). SAMI 2016 : IEEE 14th International Symposium on Applied Machine Intelligence and Informatics. IEEE (Institute of Electrical and Electronics Engineers)
Keprate, Arvind; Ratnayake, R.M. Chandima (2016). Handling Uncertainty in the Remnant Fatigue Life Assessment of Offshore Process Pipework. N., N. (Red.). ASME 2016 International Mechanical Engineering Congress and Exposition Volume 14: Emerging Technologies; Materials: Genetics to Structures; Safety Engineering and Risk Analysis Phoenix, Arizona, USA, November 11–17, 2016. The American Society of Mechanical Engineers (ASME)
Keprate, Arvind; Ratnayake, R.M. Chandima (2016). Inspection planning and maintenance scheduling of offshore piping undergoing fatigue degradation: A probabilistic view. Dreyer, Heidi Carin; Netland, Torbjørn H. (Red.). 23rd EurOMA Conference. Interactions. Book of abstracts for EurOMA 2016. NTNU Trondheim, Department of Production and Quality Engineering and the Department of Industrial Economics and Technology Management
Keprate, Arvind; Ratnayake, R.M. Chandima (2016). Determining the degree of fuzziness for Fuzzy-AHP methodology used for identifying fatique critical piping locations for inspection. Szakal, Aniko (Red.). INES 2016 20th Jubilee IEEE International Conference on Intelligent Engineering Systems : proceedings. IEEE (Institute of Electrical and Electronics Engineers)
Keprate, Arvind; Ratnayake, R.M. Chandima (2016). Use of AHP for risk based fatigue degradation inspection analysis of topside piping on offshore production and process facilities. IEEE International Conference on Industrial Engineering and Engineering Management. Vol. 2016-January. s. 737-741
Keprate, Arvind; Ratnayake, R.M. Chandima (2015). Probability of detection as a metric for quantifying NDE capability: the state of the art. Journal of Pipeline Engineering. Vol. 14. s. 199-209
Keprate, Arvind; Ratnayake, R.M. Chandima (2015). Fatigue and Fracture Degradation Inspection of Offshore Structures and Mechanical Items: The State of the Art. NN, . (Red.). ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering. The American Society of Mechanical Engineers (ASME)
Keprate, Arvind; Ratnayake, R.M. Chandima (2015). Use of AHP for Risk Based Fatigue Degradation Inspection Analysis of Topside Piping on Offshore Production and Process Facilities. Magnanti, Thomas L.; Chai, Kah Hin; Jiao, Roger; Chen, Songlin; Xie, Min (Red.). Proceedings of the 2015 IEEE International Conference on Industrial Engineering and Engineering Management. IEEE (Institute of Electrical and Electronics Engineers)

Formidling (13)

Mian, Haris Hameed; Siddiqui, Muhammad Salman; Eirik, Rognskog Nordbak Bjørn; Keprate, Arvind; Asim, Taimoor (2025). Leveraging Data-Driven Techniques in LiDAR and SCADA Data to Enhance Analysis of Floating Offshore Windfarm. EERA Deepwind Conference 2025
Keprate, Arvind; Bagalkot, Nikhil (2024). Key components of the horizontal axis wind turbine. Fallah, Arash Soleiman; Khawaja, Hassan Abbas; Moatamedi, Mojtaba (Red.). Multiphysics of Wind Turbines in Extreme Loading Conditions. Academic Press
Moghadam, Farid Khazaeli; Keprate, Arvind; Gao, Zhen (2024). Editorial: Online monitoring of wind power plants using digital twin models. Frontiers in Energy Research. Vol. 12
Mian, Haris Hameed; Siddiqui, Muhammad Salman; Keprate, Arvind; Mathew, Sathyajith (2024). Neural network-based motion prtediction of semi-submercible floating platform for offshore wind. EERA Deepwind Conference
Keprate, Arvind; Singh, Maneesh (2023). Development of Global Collaborative Research Based Education Programs for Operation and Maintenance of Offshore Wind Turbines. 2nd Annual Offshore Wind Operations and Maintenance Forum
Komulainen, Tiina M.; Baqeri, Abdul Malik; Nermo, Einar; Keprate, Arvind; Saltnes, Torgeir; Jansen, Katrine M.; Korostynska, Olga (2023). Estimation of effluent nutrients in municipal MBBR process. SIMS2023
Mian, Haris Hameed; Siddiqui, Muhammad Salman; Yang, Liang; Keprate, Arvind (2023). BEM approach to evaluate leading-edge erosion effects on wind turbine power output. Deepwind conference
Keprate, Arvind; Singh, Maneesh (2023). Development of a Decision Support System for Optimised Maintenance of Wind Turbines. EERA DeepWind
Keprate, Arvind (2022). Wind Farm Optimization Using Machine Learning. Multi Physics Conference
Keprate, Arvind (2022). FATIGUE DAMAGE PROGNOSTICS OF SMALL-BORE PIPING ON OFFSHORE PLATFORMS. PHM Conference
Keprate, Arvind (2021). Hybrid Digital Twin for Offshore Oil and Gas Operation. Process Safety and Asset Integrity Management in the Digital Age
Keprate, Arvind; Bhardwaj, Sachin; Ratnayake, Chandima (2021). Residual Stress Prediction of Welded Joints Using Gradient Boosting Regression. International Conference on Intelligent Technologies and Applications
Keprate, Arvind (2016). Probability of detection : history, development and future. Pipeline Technology Journal. s. 41-45

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