DigitalClone
for Wind Operations & Maintenance

DC-OM is a digital twin of two major individual turbine major components at scale, gearbox and main bearing, using machine learning to deliver health prediction capability superior to CMS. A unique orchestration functionality is under development to host 3rd party health prediction models for other individual turbine major components at scale such as blades, towers, hub, etc.) to provide a holistic management of a wind turbine.

Root Cause Analysis (RCS) and Computational Test Lab (CTL) services as needed.

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There is a lot if opportunity out there to do things better. As an operator, we do not have automated feedback on a optimized way to fly an air craft.
David Balevic, CHC
“We are very proud to be the first major European wind power operator to use the Sentient Science’s reputed technology in our assets. This represents a big step forward in our Turbine for Life program to obtain the maximum performance from our turbines and be ever more competitive.”
Rafael Mateo, ACCIONA