Model-plant mismatch detection with support vector machine for cross-directional process behavior monitoring
US11449046B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 1, 2017 |
| Grant date | Sep 20, 2022 |
| Priority date | — |
| Expiry date | Jul 11, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05B2219/25298
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
A method includes obtaining operating data associated with operation of a cross-directional industrial process controlled by at least one model-based process controller. The method also includes, during a training period, performing closed-loop model identification with a first portion of the operating data to identify multiple sets of first spatial and temporal models. The method further includes identifying clusters associated with parameter values of the first spatial and temporal models. The method also includes, during a testing period, performing closed-loop model identification with a second portion of the operating data to identify second spatial and temporal models. The method further includes determining whether at least one parameter value of at least one of the second spatial and temporal models falls outside at least one of the clusters. In addition, the method includes, in response to such a determination, detecting that a mismatch exists between actual and modeled behaviors of the industrial process.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.