• identification of risk-ranking for key failure modes

  • derived health indices for most vulnerable components and sub-systems

  • digital twin for every turbine, based on simulations based on turbine-specific data

  • estimates of accumulated damage, remaining useful life and risk of failure based on combination of statistics, expert knowledge and physics of failure

  • pilot project for operating wind farm (focus on frequency converter, gearbox and pitch system)

  • new models embedded within computerised maintenance management system

  • estimated cost-savings from reduced inspection, prioritised maintenance tasks, optimised inventory of spares and tools