Augmented reliability models for design and manufacturing
US11475187B2 · kind B2 · utility
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Key dates
| Filing date | Mar 20, 2020 |
| Grant date | Oct 18, 2022 |
| Priority date | — |
| Expiry date | Feb 20, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2119/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for generating an augmented reliability performance model for a product includes obtaining a reliability performance model for the product, developing a reliability prediction machine learning model for predicting reliability performance of the product based on data obtained from manufacturing and testing of the product, and obtaining, from development of the machine learning model, feature names for the machine learning model and their predictive power values. The feature names may correspond to features from the data obtained from manufacturing and testing of the product. The method may further include extracting a set of feature names corresponding to features having highest predictive power values from the feature names, and generating the augmented reliability performance model for the product by modifying the reliability performance model to incorporate model parameters derived from the set of feature names.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.