Prediction of Paper Machine Runnability by Identification of Operating Situations

In this study an indicator for the prediction of paper machine runnability was developed as a Case-based reasoning (CBR) type application with linguistic equation (LE) approach and fuzzy logic. The foundation of this application is a case base containing models of various operating situations with different amount of breaks. The indicator compares online measurements to the examples in case base and uses the information of the best fitting case to identify the current situation. This paper presents the application with some test results.