Paper web breakage prediction using principal components analysis and classification and regression trees
US6466877B1 · kind B1 · utility
25Cited by
12References
48Claims
0Family size
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Key dates
| Filing date | May 30, 2000 |
| Grant date | Oct 15, 2002 |
| Priority date | — |
| Expiry date | Aug 14, 2020 |
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 sensor measurements taken from the paper machine. 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.