Seminar on Advanced Topics of Predictive Maintenance'
(in German: Seminar on Advanced Topics of Predictive Maintenance - )
Module-ID: FIN-INF-999920 |
| Link: | LSF |
| Responsibility: | Prof. Dr.-Ing. Benjamin Noack, Prof. Dr. Myra Spiliopoulou |
| Lecturer: | Prof. Dr.-Ing. Benjamin Noack, Prof. Dr. Myra Spiliopoulou |
| Classes: |
|
| Applicability in curriculum: |
|
Abbreviation PredMa_Masterseminar |
Credit Points 6 |
Semester every |
Term ab 1. |
Duration 1 Semester |
Language english |
Level Master |
Intended learning outcomes:
Students who complete the course ...
- read scientific articles given to them on introductory topics of predictive maintenance
- discuss these articles and reflect on them
- compare the methods that appear in these articles and discuss the pros and contra of each method in comparison to other methods
- summarize article contents on predictive maintenance in a report and present them
- formulate questions on these articles and answer questions formulated by other seminar participants
Content:
In this seminar, the participants will learn about
- challenges and methods for data acquisition in industrial processes
- data analysis tools in predictive maintenance
- process modeling, fault detection, and state prediction for industrial applications
Workload:
28h in presence (consultation meetings, presentations) + 156 h self study
| Type of examination: | Teaching method / lecture hours per week (SWS): |
|
Seminar (2 SWS) |
| Prerequisites according to examination regulations: | Recommended prerequisites: |
|
none |
|
| Media: | Literature: |
|
Literature depends on topic assignment and is given to each student together with the assignment |
Comments: