Extracting control variables of casting processes with NMF and rule extraction

Zusammenfassung

Process monitoring and optimization in an industrial setting is a complex topic, a large amount of data is captured and its measurements are affected by many complex relations. There is, therefore, a growing necessity for methods to reduce its complexity and dimension such that it can be interpreted by humans. In this work we study the extraction of interpretable rules derived from components of a non-negative matrix factorization using real data.