Greenbyte Energy Cloud’s new feature Predict has been released for commercial use.
Greenbyte is planning a campaign to demonstrate to wind farm operators how the feature can help prevent unscheduled downtime and decrease unforeseen costs, the company said.
Predict uses statistical models, artificial neural networks and machine learning to identify turbine component failures before they occur.
The feature alerts users to changes in temperature that indicate the need for machine maintenance.
Predict’s advanced statistical models have been optimised and tested for high accuracy, according to the company.
A Predict pilot study detected faults two to nine months in advance, achieved 94% accuracy and showed a 23% reduction of cost, Greenbyte said.
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Greenbyte Predicts system failures
By EBS