Method for obtaining at least one significant feature in a series of components of the same type and method for the classification of a component of such a series
US11651482B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 16, 2019 |
| Grant date | May 16, 2023 |
| Priority date | — |
| Expiry date | Mar 16, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30164
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Method for obtaining at least one significant feature in a series of components of the same type on the basis of data sets by non-destructive testing. The method includes examining a classified random sample of components which have a known production sequence, by a non-destructive testing. A three-dimensional data set for each component is obtained, and components of the sample are divided by good and rejected parts. Defect-free component regions from all of the components of the random sample are extracted. At least one feature which is characteristic of the type of component and production process which, over a predetermined time of component production, exhibits considerable characteristic differences between the good and rejected parts is determined. The determination can be accomplished using neural networks, machine learning approaches, or statistics from the field of data analytics. The at least one feature and its characteristic is defined as a trained classifier.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.