..., a high value depicted by a parameter like silicon may be attributed to dirt ingression to the sample due to wrong sampling procedures. In this study, we use data mining methods to explore significant correlation and patterns in used oil analysis data for maintenance decision support and more...

...Jukka Mikael Rantamäki; Olli Saarela Purpose – This paper deals with the identification and diagnosis of operational variability in chemical processes, which is a common problem in mills but little explored in literature. The Cross-Industry Standard Process for Data Mining (CRISP-DM) is a widely...

... in automotive, aviation, manufacturing, defense, and other industries. It involves various disciplines like data mining, artificial intelligence, and statistics to enable the systems to be maintenance intelligent. These disciplines help in predicting the future consequences based on the past and current system...