891342 Process control and analytics
This page is available under these URLs:
- Lecture and exercise
- Semester hours
- Lecturer (assistant)
- Kandelbauer, Andreas , Riegler, Martin
- Offered in
- Sommersemester 2023
- Languages of instruction
The course deals with possibilities for analysing and controlling technological processes. Contents of teaching are divided into two blocks, whereas the first describes possible analytical approaches to characterise relevant raw material and process parameters and the second block deals with the processing and reasonable usage of the obtained data. Examples from the wood industry will be elaborated to point out the relevance of the approaches presented.
1. block “data acquisition”:
available analytical methods for characterising technological processes (inline, online, offline – spectroscopy, appropriate sensor technique (visual, radiant, etc.), soft sensors, etc.)
2. block “data processing”:
analysis of multivariate data collected in highly technological processes; detection of multivariate data structures by using statistical approaches presented; potential of statistical modelling for adapting and controlling processes
- Objective (expected results of study and acquired competences)
Students should develop the skill of applying analytical methods on technological processes that are used for a knowledgebased process control. Additionally, competences for solving problems should be acquired that are needed in an industrial working environment. Hence, students should be able to identify relevant process steps, apply appropriate analytical methods and reasonably interpret results of multivariate statistical analyses.
You can find more details like the schedule or information about exams on the course-page in BOKUonline.