Descriptive, predictive, prescriptive and cognitive models analyze historical and real-time data to monitor asset health, warn of impending failure, and recommend maintenance procedures and schedules.
Risk exposure analytics provide information in context of grid operations, aggregating and analyzing asset performance data to calculate probability of asset failure and potential impact to the grid.
Quickly assess situations by understanding performance of individual assets within context of the network through aggregation, analysis, and visualization of relevant asset and operational data.
Analyses enable operations, maintenance, and finance personnel to make well-informed decisions regarding maintenance scheduling, asset replacements plans, and level of infrastructure investments.
Report historical, current, and predictive insights for wind turbines and wind farms, and optionally incorporate weather data to assess turbine health and risk and optimize wind farm performance.