Arvind Keprate

12 papers Unranked 12
YearRankTypeTitle / Venue / Authors
2023 — conf
Comparing Deep Learning Based Image Processing Techniques for Unsupervised Anomaly Detection in Offshore Wind Turbines.
IEEM
Arvind Keprate, Saeid Sheikhi, Muhammad Salman Siddiqui, Monika Tanwar
2023 — conf
From Theory to Practice: Leveraging Project Based Learning to Cultivate Student Engagement in Mechanical Engineering Education.
IEEM
Arvind Keprate, Sam Woodford, Rafael Borrajo
2023 — conf
Towards an Integrative Framework for Digital Twins in Wind Power.
IEEM
Muhammad Salman Siddiqui, Arvind Keprate, Liang Yang, Tiril Malmedal
2022 — conf
Prognostics for Small Bore Piping Undergoing Fatigue Degradation.
IEEM
Arvind Keprate, Nikhil Bagalkot
2022 — conf
Standards, Ethics, Legal Implications & Challenges of Artificial Intelligence.
IEEM
Sanjana Chauhan, Arvind Keprate
2021 — conf
Exploratory Data Analysis of the N-CMAPSS Dataset for Prognostics.
IEEM
Supratik Chatterjee, Arvind Keprate
2021 — conf
Residual Stress Prediction of Welded Joints Using Gradient Boosting Regression.
INTAP
Sachin Bhardwaj, Arvind Keprate, R. M. Chandima Ratnayake
2020 — conf
Use of Analytical Hierarchy Process in Selecting the Optimum Equipment for Execution at a Construction Project.
IEEM
Kumar Gaurav Thakur, Arvind Keprate
2019 — conf
Architecture for Digital Spare-Parts Library: Use of Additive Layer Manufacturing in the Petroleum Industry.
APMS (1)
R. M. Chandima Ratnayake, Arvind Keprate, Roman Wdowik
2019 — conf
Assessment of Reliability and Remaining Fatigue Life of Topside Piping Using Dynamic Bayesian Network.
IEEM
Arvind Keprate, R. M. Chandima Ratnayake
2018 — conf
Remaining Fatigue Life Prediction of Topside Piping Using Response Surface Models.
IEEM
Arvind Keprate, R. M. Chandima Ratnayake
2015 — conf
Use of AHP for risk based fatigue degradation inspection analysis of topside piping on offshore production and process facilities.
IEEM
Arvind Keprate, R. M. Chandima Ratnayake