Applying process monitoring with multivariate analysis through a knowledge-based systems approach to a paperboard machine
✍ Scribed by Anders Skoglund; Anders Brundin; Carl-Fredrik Mandenius
- Publisher
- Elsevier Science
- Year
- 2005
- Tongue
- English
- Weight
- 507 KB
- Volume
- 56
- Category
- Article
- ISSN
- 0166-3615
No coin nor oath required. For personal study only.
✦ Synopsis
The utility of multivariate statistical process control (MSPC) in the process industry can be further improved by applying knowledge-based systems (KBS) principles. First, the extensive volumes of process data generated in a production process can be pre-assessed by the KBS according to set rules. Second, the KBS can make a selection between various MSPC model alternatives. Third, the KBS may support the plant operators when evaluating the MSPC output results. This is shown in this preliminary study where a KBS was applied to an existing MSPC application on a paperboard machine.
It is suggested that these experiences may also successfully be applied with other continuous processes in the manufacturing industry.