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Research Highlight | Nuclear Science and Engineering

Detecting faults in a multi-component thermal hydraulic system

The method compares measurements with physics-based predictions to generate an alert indicating components or sensors with a fault.

Argonne researchers Tat Nghia (Tim) Nguyen, Richard B. Vilim, and Roberto Ponciroli, from the Nuclear Science and Engineering division, have patented their framework for monitoring and diagnosing faults in a thermal hydraulic system. The framework uses physics-based models, calibrated using historical measurements, to compute unmeasured process variables and evaluate the performance of the system components. Differences between the model predictions and measured data provides an efficient and effective way of detecting faults in complex systems.

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