Watchlist Identifying Damage Wind Turbine

DigitalClone Platform is a network of wind turbine operators and suppliers, connected through digitalization, materials science and life extension actions. DigitalClone is physics-based, simulating wind turbine drivetrain components using operational and loading conditions to predict the progression of failure. The software provides health prediction capability superior to CMS using machine learning for individual turbine major components at scale (gearbox, main bearing).


Reduce Risk, Cost & Uncertainty with long-term visibility of component remaining useful life

with DC-E
Reduce risk with computational testing of certified digital models for component qualification & accelerate design optimization schedules; Root Cause Analysis (RCA) of failed component.
with DC-OM
Watchlist of each asset in fleet by site, turbine, drivetrain & components to find additional failing assets not detected by traditional watchlists.


Original Equipment Manufacturers

Create internal drivetrain DigitalClone models that generate Component Life Predictions for bearings, gears and drivetrain systems using material science and physics-based analysis based on planned operational profiles and loading conditions.

Test data points through computational test, including operational profiles, design alternatives & material options, to meet competitive design requirements.

Accelerate marketing and sales schedules to meet market timing requirements.


Objectively compare competing technologies and designs to make data-driven decisions.

Evaluate risk and life extension of replacements strategies and suppliers through multi-physics-based simulations of products under realistic operational profiles.

Forecast sustainment costs for fielded wind turbines using Multiphysics modeling techniques, including scenarios where no historical data is available or limited.


Supply Chain

Leverage high-fidelity physics-based models to forecast multiyear replacement and inventory costs.

Leverage the platform demand forecast for economies of scale.

Leverage certified DigitalClone models to assess alternate supplier technologies.

Provide early warning of emerging reliability issues within fleets.

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Wind Resources

Investigating Microstructural Alterations Leading to Wh …

This webinar outlines Sentient’s development on their White Etching Crack capabilities to current materials-based prognostics…

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Wind Load Analysis for Drivetrain Reliability

Dr. Adrijan Ribaric presents on wind loads analysis and the impact they have on drivetrain…

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Understanding Main Bearing Failures – Mitigating …

Dr. Arnab Ghosh demonstrates Sentient’s New Main Bearing Wear Model. The presentation features: New capabilities…

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