A Multinational Power Company Predicts Wind Turbine Failures Before They Happen

A multinational power company needed to reduce costs across the wind value chain while protecting energy production revenue. Unscheduled downtime and asset failures created direct pressure on profitability, making it essential to shift from reactive maintenance to earlier, more confident failure prediction.

The company needed a way to understand turbine risk before breakdowns occurred and use those insights to optimize operations and scheduling. 

Hitachi Digital Services supported a predictive maintenance approach for wind turbines that moved decisions from instinct to evidence. 

The solution predicts failures before anticipated breakdowns and uses simulations to extend Remaining Useful Life visibility. This helps the client plan maintenance activities with greater confidence, optimize operations and schedule work around asset risk rather than waiting for failure signals to become production issues. 

Forecasts are further improved using live monitoring data, giving asset teams a clearer picture of how turbines are performing and how risks might evolve over a multi-week horizon. 

The engagement gave the client a more transparent and forward-looking way to manage wind assets. 

• Reduced maintenance and downtime costs by improving the ability to act before anticipated failures. 

• Delivered precise prognostic reports, replacing gut-feel decisions with clearer asset intelligence. 

• Established a transparent asset management process with risk profiles and a multi-week forecast horizon. 

• Improved forecasts further through the use of live monitoring data.