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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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50% Reduction in Gearbox Replacements
DC-OM Helped One Customer Reduce the Number of Gearbox Replacements by 50% Moving from Unplanned…
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How to Lower the Cost and Risk of LTSAs and FSAs
Introduction Long term service agreements (LTSAs) are often an attractive asset management strategy for…
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The Value of the Elusive ‘Golden Bill of Materials’ …
The standard configuration of a wind turbine gearbox may not match the…
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