Risk based maintenance

PhD Candidate Markus Bratland Kvammen

Main Supervisor Per Schjølberg

Sponsor: Equinor

Risk based maintenance is emerging as a key method for obtaining world class maintenance planning and execution. It integrates a reliability approach and a risk assessment strategy to obtain an optimum maintenance schedule for an asset. This type of maintenance is linked to an operational concept that determines the most economical way to distribute resources, so that the maintenance effort is optimized to minimize the risk and consequences of failures. Expected outcome of the project: Artificial Intelligence/smart algorithms and development and implementation of new digital technologies.