Identify wind turbine component failures in advance with a cutting-edge digital condition monitoring tool, and transform your approach to maintenance.
"We are much more competitive in the operation management market, and that’s what we need with the prices going down for wind energy."
- AXEL LEMBKE, HEAD OF WIND OPERATIONS, BayWa r.e EnergyRead more
Predict is a network of AI-based models that have been rigorously trained to learn from SCADA data and identify impending turbine faults at an early stage—before they cause serious harm.
Predict’s highly sensitive models provide early indication of impending wind turbine component failures up to 9 months in advance.
Plan maintenance for optimal timeframes, group site visits, prep spare parts in advance and manage inventory efficiently.
Minimize wear and tear on components, avoid costly failures and reduce lost production due to forced outages by up to 12%.
Gain control of OPEX, optimize fleet performance, maximize output and increase return on investment.
Receive advanced notifications of chronic component issues of all magnitudes and profit continually from minimizing lost production.
Identify temperature anomalies of critical components, such as the gearbox, bearings, lubrication and cooling system, and receive alerts on impending failures.
Enable proactive maintenance for time and cost-saving benefits: minimize unplanned downtime, ensure longevity of components, decrease O&M costs and reduce site visits.
Whether your turbines are under warranty or in a full service contract, Predict provides an independent health assessment to increase leverage in negotiations.
A network of artificial intelligence models is trained to define the temperature equilibrium of each component, and detect the slightest deviations to flag potential faults.