System and methods for labeling weld monitoring time periods using machine learning techniques
US11400537B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Aug 3, 2020 |
| Grant date | Aug 2, 2022 |
| Priority date | — |
| Expiry date | Sep 1, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldMachine tools
- WIPO sectorMechanical engineering
Abstract
Systems and methods for labeling non-welding time periods using machine learning techniques are described. In some examples, a weld monitoring system may collect various data from sensors and/or welding equipment in a welding area over a time period. The data may evaluated to divide the time period into welding time periods and non-welding time periods. The weld monitoring system may use one or more machine learning models and/or techniques in combination with the collected data to determine what non-welding activities took place during the non-welding time periods. In some examples, the machine learning models may be continuously trained, updated, and/or improved using feedback from operators and/or other individuals, data from ongoing welding and/or non-welding activities, as well as data from other weld monitoring systems and/or machine learning models.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.