Predictive process control for a manufacturing process
US11156991B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 23, 2019 |
| Grant date | Oct 26, 2021 |
| Priority date | — |
| Expiry date | Jul 23, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05B2219/32195
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
Aspects of the disclosed technology encompass the use of a deep learning controller for monitoring and improving a manufacturing process. In some aspects, a method of the disclosed technology includes steps for: receiving a plurality of control values from two or more stations, at a deep learning controller, wherein the control values are generated at the two or more stations deployed in a manufacturing process, predicting an expected value for an intermediate or final output of an article of manufacture, based on the control values, and determining if the predicted expected value for the article of manufacture is in-specification. In some aspects, the process can further include steps for generating control inputs if the predicted expected value for the article of manufacture is not in-specification. Systems and computer-readable media are also provided.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.