• Exploratory Data Analysis of the N-CMAPSS Dataset for Prognostics 

      Keprate, Arvind; Chatterjee, Supratik (IEEE International Conference on Industrial Engineering and Engineering Management;2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Peer reviewed; Journal article, 2021-01-20)
      In the recent years, industries such as aeronautical, railway, and petroleum has transitioned from corrective/preventive maintenance to condition based maintenance (CBM). One of the enablers of CBM is Prognostics which ...
    • Predicting Remaining Fatigue Life of Topside Piping Using Deep Learning 

      Keprate, Arvind; Chatterjee, Supratik (International Conference on Applied Artificial Intelligence (ICAPAI);2021 International Conference on Applied Artificial Intelligence (ICAPAI), Conference object, 2021-06-29)
      Topside piping is the most commonly failed equipment in the Petroleum and Maritime industry. The prominent degradation mechanism causing piping failure is fatigue which results in unnecessary hydrocarbon release from these ...