The session will be expounding the role of probabilistic digital twins in asset integrity maintenance with primary focus on application of Bayesian Networks (BNs). An illustrative case study shall be performed showcasing the use of BNs for asset integrity maintenance.


  • What are probabilistic digital twins (PDTs)?
  • What are Bayesian Networks (BNs)?
  • How BNs are used for asset integrity maintenance.
  • Pitfalls of PDTs.


Speaker Bio

Arvind Keprate is a Senior Engineer at Pipeline section of DNV GL, where he is involved in creating digital twins for asset integrity maintenance. He holds a PhD in Offshore Engineering and Master’s in Marine and Subsea Engineering from University of Stavanger. He has been a visiting researcher at Prognostics Center of Excellence at NASA Ames Research Center, California. His research interests are in the field of probabilistic inspection planning, reliability engineering, probabilistic risk assessment, life estimation modeling, condition monitoring and application machine learning in the aforementioned domains.

May 24 @ 13:55
13:55 — 14:25 (30′)

Stage 3 | Data Integration and Quality

 Program Day 2, Arvind Keprate – Senior Engineeer | DNV GL