Tagup Machine Learning Capabilities
Gain Data Insights
Aggregate wind turbine data to create consolidated records and leverage machine learning models that enable your teams with predictive analytics. Your insights are turned into better decision making to improve the safety, reliability, and operational efficiency of wind farms.
Tagup's machine learning libraries provide insight into unusual operation and equipment faults enabling users to prioritize maintenance events by rapidly identifying and reviewing irregularities.
Predict Maintenance Events
Operators and engineers can easily leverage machine learning and artificial intelligence to predict critical events such as unplanned maintenance in order to prevent turbine failure. Predictive analytics saves you O&M dollars and unplanned downtime.
Integrated Data Systems for Wind Turbine Engineers
Engineers have difficulty analyzing and reporting fleet performance, struggling to consolidate data streams. Tagup makes accessing data easy.
Accessible Analytics for Energy Data Scientists
Understanding, experimenting on, and measuring current wind turbine data is a common struggle for data scientists in the energy sector. Tagup streamlines data integration and the ability to get value out of your data.
Optimized Turbine Data for Wind Power Generation
Predicting a failure and intervening in time to prevent costly damage is a challenge for wind farm managers who don’t have access to real-time wind turbine data and analytics from a single, robust platform.