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Digital Twins and Uncertainty Quantification (AI-Enabled)

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  • Digital Twins and Uncertainty Quantification (AI-Enabled)

Overview

Digital twins are reshaping engineering and operations by simulating physical assets with high fidelity. Our R&D integrates artificial intelligence and uncertainty quantification to offer smarter, predictive digital twins that evolve with operational data. These systems help engineers foresee potential failure modes, assess performance variability, and optimize design in real time.

Core Features

Dynamic simulation models

Dynamic simulation models integrated with sensor data.

AI-driven behavioral forecasting

AI-driven behavioral forecasting for predictive maintenance.

Bayesian and Monte Carlo methods

Bayesian and Monte Carlo methods for uncertainty estimation.

Data fusion techniques

Data fusion techniques to combine simulations and field inputs and Self-improving models

Applications

  • Structural health monitoring of aerospace components.
  • Predictive performance analytics for drone fleets.
  • Virtual prototyping for automotive testing.
  • Lifecycle optimization for industrial assets.

Impact

  • Reduced downtime by 25% in operational systems.
  • 3x improvement in design validation cycles.
  • Enhanced system reliability forecasting.
  • Better ROI from predictive analytics and diagnostics.

Visual Aid