Purpose of the workshop:
The data collected by sensors installed on structures, machinery and mechanical systems in the offshore industry hold a huge potential in terms of structural health monitoring, performance evaluation and real-time integrity management. However, the excess amount and complexity of the data acquired pose great challenges to data processing and analysis.
The workshop will be divided into two parts. The first part will be a presentation of DNV GL’s latest initiatives within digitalization and a selection of concrete examples where machine learning has been applied in structural analysis and condition monitoring. The second part of the workshop will be more ad hoc. Participants are invited to bring forward their own ideas, problems and concerns for discussion. Depending on the participants wishes and input the second part of the workshop can be both very general or more concrete and related to specific cases.
Who should attend:
This workshop is aimed at engineers and managers who want engage in digitalization and face the unique challenges associated with Big Data and adaptive, data-driven offshore asset management and condition monitoring.
Niels Hørbye Christiansen
Senior Engineer at DNV GL
Project Manager at Offshoreenergy.dk