Sentient Science

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Since 2001, Sentient Science has been devoted to solving product failures. To this end, our team developed DigitalClone solutions to dramatically reduce failures through computational testing, prognostic maintenance, and design optimization. DigitalClone's breakthrough can determine a product's future lifecycle and failure initiation because of 10 years and $20M+ of competitive U.S. research and development and 15 commercial validations. with virtual testing at half the cost, twice the speed, and increased accuracy.

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Sentient Science

Modeling Tribological Contacts in Wind Turbine Gearboxes

The Impacts of Uprating and Derating on Wind Turbine Reliability

A Step By Step Approach to Predict Fatigue, Wear Failure and Remaining Useful Life in Mechanical Systems

Using the Industrial Internet to Move From Planned Maintenance to Predictive Health Maintenance

Duke Energy - Case Study

Improving Bearing Life and Performance with Computational Testing

Extend gearbox life with new components and methods 2015.04.21

Investigating the Impacts of Uprating or Derating for the GE 1.5MW

Demonstration on How to Extend the Life a 1.5MW Class Gearbox

Investigating Microstructural Alterations Leading to White Etch Cracks (WEC's) in Wind Turbine Gearbox Bearings

Applying a New Generation of Prognostics Across the Industrial Internet

Utilizing Predictive Modeling for Bearing Supplier Decision Making

Comparing Bearing and Gear Options: How to Buy Bearings Based on Life, Not Just Price

Moventas GE 1.5 Extra Life Gearbox Achieves 4x Life

Improving Rotorcraft Drivetrain Life

Comparing Replacement Components to Extend the Life of Gearboxes

Wind Loads Analysis for Drivetrain Modeling

Cutting Costs for Energy Producers by 1 Cent per Kilowatt Hour

Main Bearing Wear Model

Imminent DEATH from SCADA New Product Introduction