Multivariate statistical process monitors
US7062417B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 23, 2001 |
| Grant date | Jun 13, 2006 |
| Priority date | — |
| Expiry date | Feb 25, 2023 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F17/18
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An extended partial least squares (EPLS) approach for the condition monitoring of industrial processes is described. This EPLS approach provides two statistical monitoring charts to detect abnormal process behaviour as well as contribution charts to diagnose this behaviour. A theoretical analysis of the EPLS monitoring charts is provided, together with two application studies to show that the EPLS approach is either more sensitive or provides easier interpretation than conventional PLS.Generalised scores are calculated by constructing an augmented matrix, of the formZ=[Y{dot over (:)}X],where X is the predictor matrix and Y is the response matrix, and constructing a score matrix Tn=T*n−E*n in which T*n and E*n are generally of the form:the columns of the matrix T*n providing the generalised t-scores and the columns of the matrix E*n the generalised residual scores, where ℑ denotes an M×M identity matrix,
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.