Predict turbine failure times and optimize repair and replacement to extend asset life and minimize downtime. Machine learning predicts asset failure with greater confidence and determines optimal repair times to extend operating hours and increase return on capital.
Go beyond predictive maintenance with real-time workforce optimization to significantly lower costs and minimize downtime. Using sophisticated machine learning and prescriptive analytics, SpaceTime determines the optimal schedule and routing for wind turbine maintenance crews and automatically schedules work orders in your field service maintenance system. Our advanced analytics considers real-time, dynamic variables like weather and traffic to continuously optimize operation and maintenance activities, significantly driving down O&M costs. That savings drops straight to the bottom line.
Using Asset Analytics, planning engineers and engineering and operations groups easily collaborate to simultaneously lower risk and optimize spending. This collaboration supports a culture of improved decision-making driven by insights from analytics.
Complete this short form or give us a call to arrange a demo of Wind Farm Analytics and learn how SpaceTime can help your wind farm operate more cost-effectively every day.