This case study demonstrates how regularities in raw data can be automatically determined and expressed by means of rules. The data describe temperature profiles of 32 reactive crystallizations. Six processes were contaminated, resulting in bad product quality. The aim of this data analysis is to extract rules, which allow to predict the outcome of theprocess. The most important steps of the implementation are explained and their automation is discussed.
|Translated title of the contribution||A method for an automated rule extraction from raw process data part 2: A case study|
|Number of pages||8|
|State||Published - Mar 1996|
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science Applications
- Electrical and Electronic Engineering