Bachelor seminar Predictive Maintenance
(in German: Bachelorseminar Predictive Maintenance - )
Module-ID: FIN-INF-120489 |
| Link: | LSF |
| Responsibility: | Prof. Dr. Myra Spiliopoulou, Prof. Dr.-Ing. Benjamin Noack |
| Lecturer: | Prof. Dr. Myra Spiliopoulou, Prof. Dr.-Ing. Benjamin Noack |
| Classes: | Seminar PredMa_BSeminar |
| Applicability in curriculum: |
|
Abbreviation PredMa_BSeminar |
Credit Points 5 |
Semester every |
Term ab 3. |
Duration 1 Semester |
Language english |
Level Bachelor |
Intended learning outcomes:
When successfully completing this seminar, the students can:
- 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 processing
- data analysis tools in predictive maintenance
- process modeling, fault detection, and state prediction
Workload:
28 h in presence (consultation meetings, presentations) / 96 h self-study for:
- Reading and Understanding of Provided Papers
- Writing an essay
- Presentation and question answering
| Type of examination: | Teaching method / lecture hours per week (SWS): |
|
Referat und Hausarbeit (Presentation, Discussion, Scientific Article) |
Seminar (2 SWS) |
| Prerequisites according to examination regulations: | Recommended prerequisites: |
|
none |
|
| Media: | Literature: |
|
Scientific articles on Predictive Maintenance; |
Comments: