DUC2021 - RSM Surrogate Model under Monotonic Constraint for Enhanced System Monitoring and Control

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Authors:

Quentin Courjeau, Air Systems Engineer, Liebherr Aerospace

Journal / Event:

DATADVANCE User Conference 2021

Abstract:

In this project, we want to identify a mathematical method to: Create virtual sensors based on machine learning applied to multi-physics systems Implement the hereabove virtual sensors in an embed software Constrain the surrogate model to ensure compatibility with closed loop control The chosen method is the Response Surface Model of GTApprox. The main reasons are: The mathematical simplicity (quadratic function) Small memory and CPU usage Consistency with the physics modelled

Keywords: DUC2021, Surrogate Modeling, Machine Learning, Aerospace