Machine learning for weldment classification and correlation
US10875125B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 20, 2017 |
| Grant date | Dec 29, 2020 |
| Priority date | — |
| Expiry date | May 6, 2038 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB23K31/12
- WIPO fieldMachine tools
- WIPO sectorMechanical engineering
Abstract
Embodiments of systems and methods for characterizing weldments are disclosed. One embodiment includes a method of generating an algorithm for classifying weldments as meeting or not meeting a specification. Training data is read by a machine learning system. The training data includes cross-sectional images of training weldments, truth data indicating whether the training weldments meet the specification or not, and training weld data associated with creating the training weldments. The machine learning system trains up an algorithm using the training data such that the resultant algorithm can classify a subsequent test weldment as meeting the specification or not meeting the specification when a cross-sectional image of the test weldment and test weld data used to create the test weldment are read and processed by the classification algorithm as trained.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.