Paper web breakage prediction using principal components analysis and classification and regression trees
US6522978B1 · kind B1 · utility
30Cited by
5References
54Claims
0Family size
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Key dates
| Filing date | Aug 13, 2001 |
| Grant date | Feb 18, 2003 |
| Priority date | — |
| Expiry date | Aug 13, 2021 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01N33/346
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
A system and method for predicting web breaks in a paper machine. Principal components analysis (PCA) and classification and regression tree (CART) modeling are used to predict web break sensitivity from measurements taken from the paper mill. Also, the CART model is used to isolate the root cause of the predicted web break sensitivity.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.