Conveners
Measurement
- Andrea Ahlemeyer-Stubbe (Data Mining and More)
-
Corli van Zyl (North-West University)18/05/2021, 15:20Data Science in Process Industries
We develop Shiryaev-Roberts schemes based on signed sequential ranks to detect a persistent change in location of a continuous symmetric distribution with known median. The in-control properties of these schemes are distribution free, hence they do not require a parametric specification of an underlying density function or the existence of any moments. Tables of control limits are provided....
Go to contribution page -
Mr Tim Offermans (Radboud University)18/05/2021, 15:40Data Science in Process Industries
The application of statistical regression models in (bio)chemical industry as soft-sensors is becoming more and more popular with the increasing amounts of data collected. Such sensors can predict the critical properties of the product that signify the production quality from process variables. As these variables are much quicker and easier to measure than a traditional wet chemical analysis...
Go to contribution page -
Georg Rønsch (DTU Compute, Department of Applied Mathematics and Computer Science Statistics and Data Analysis), Prof. Murat Kulahci (DTU Compute, Department of Applied Mathematics and Computer Science Statistics and Data Analysis)18/05/2021, 16:00Data Science in Process Industries
This work focuses on the effective utilisation of varying data sources in injection moulding for process improvement through a close collaboration with an industrial partner. The aim is to improve productivity in an injection moulding process consisting of more than 100 injection moulding machines. It has been identified that predicting quality through Machine Process Data is the key to...
Go to contribution page