US Patent Application 18366636. MULTI-SOURCE MODELING WITH LEGACY DATA simplified abstract
Contents
MULTI-SOURCE MODELING WITH LEGACY DATA
Organization Name
Inventor(s)
Sayan Ghosh of Niskayuna NY (US)
Jesper Kristensen of Niskayuna NY (US)
MULTI-SOURCE MODELING WITH LEGACY DATA - A simplified explanation of the abstract
This abstract first appeared for US patent application 18366636 titled 'MULTI-SOURCE MODELING WITH LEGACY DATA
Simplified Explanation
The patent application describes a method for estimating the rate at which cracks propagate in materials.
- The method involves receiving data for a new material design, including information about crack growth rate.
- Data is also received for multiple existing material designs, referred to as legacy systems.
- Legacy models are determined for each of the existing material designs based on the data for each system and the data for the new material design.
- The validity of each legacy system is determined using a likelihood validity and a predictive uncertainty model validity.
- Model weights are calculated to associate with each of the determined legacy models.
- A multi-source model is then determined for new data for the new material design based on the model weights.
Original Abstract Submitted
A method for estimating a crack propagation rate includes receiving a first dataset for a new material design, the new material design including crack growth rate data, receiving second and third datasets for a plurality of different legacy systems associated with an existing material design, determining a legacy model for each of the plurality of different legacy systems based on the respective second and third datasets for each of the plurality of different legacy systems and the first dataset for the new material design, the legacy model based on a validity of each legacy system, the validity determined using a legacy model likelihood validity and a predictive uncertainty model validity, calculating a model weight to associate with each of the determined legacy models, and determining a first multi-source model for new data for the new material design based on the model weight.
