US Patent Issued to The Boeing on Aug. 11 for "Methods and systems for airfoil prognostics using physics-informed machine learning" (California Inventors)

ALEXANDRIA, Va., Aug. 12 -- United States Patent no. 12,703,476, issued on Aug. 11, was assigned to The Boeing Co. (Arlington, Va.).

"Methods and systems for airfoil prognostics using physics-informed machine learning" was invented by Kangyu Ni (Calabasas, Calif.) and Tsai-Ching Lu (Thousand Oaks, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Methods and systems for airfoil prognostics using physics-informed machine learning introduce perturbations to a nominal airfoil geometry, simulating potential faults. The perturbed airfoil geometries are processed by physics-informed neural network (PINN) models, trained on geometric and physics-based features, to predict lift coefficients, thereby predicting t...