Numerical controller and machine learning device
US11112768B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 12, 2017 |
| Grant date | Sep 7, 2021 |
| Priority date | — |
| Expiry date | Dec 17, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05B2219/45244
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
To provide a numerical controller and a machine learning device that predict an abnormality, based on machine learning with perception of temporal change in data. The numerical controller includes the machine learning device provided with a learning unit that conducts machine learning of trends in operation of a machine on occasions of occurrence of abnormalities in the machine, based on time-series data acquired by a data logger device and relating to the operation of the machine and abnormality information relating to the abnormalities which have occurred in the machine and a prediction unit that predicts an abnormality which will occur in the machine, based on results of the machine learning in the learning unit and time-series data acquired by the data logger device and relating to current operation of the machine.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.