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Working

with Turbit AI

Plugin Turbit’s data pipeline within your existing software stack for automatic and scalable training of machine learning algorithms.

 

Set Up Data Science Pipelines at Scale

Technical Set Up

For each turbine, component and each site, Turbit AI learns the normal performance behavior from historical SCADA data.

Model Training

Turbit models use physically relevant input data such as wind speed, temperature, wind direction and turbulence intensity for each turbine and component.

Data Streaming

The machine learning models predict the performance with an accuracy of over 99%.

 

Turbit AI in Production

Analysis

Turbit compares constantly simulated with actual data. The algorithms detect the performance anomaly of each turbine independently regardless of the manufacturer and site.

Classification

Detected anomalies are compared with our database of over 6000 turbine years and classified in availability categories. Furthermore, we compare each event with the turbine status to add more context to the information and filter unimportant events.

Performance

Turbit sends relevant insights like yield potentials or an unnoticed temperature rise in the generator in a real-time data analysis via e-mail. Within Turbit Web App there is even more relevant information.

How to Start

Connect your operations software stack to Turbit or upload SCADA data.

Book a demo with Turbit and learn how best practices in machine learning uncover underperforming turbines.