101-0521-10L Machine Learning for Predictive Maintenance Applications
| Semester | Frühjahrssemester 2021 |
| Dozierende | O. Fink |
| Periodizität | jährlich wiederkehrende Veranstaltung |
| Lehrsprache | Englisch |
| Kommentar | The number of participants in the course is limited to 25 students. Students interested in attending the lecture are requested to upload their transcript and a short motivation responding the following two questions (max. 200 words): -How does this course fit to the other courses you have attended so far? -How does the course support you in achieving your goal? The following link can be used to upload the documents. https://polybox.ethz.ch/index.php/s/3S9ZlyxQTiOS3fM |
| Information zur Leistungskontrolle (gültig bis die Lerneinheit neu gelesen wird) | |
Leistungskontrolle als Semesterkurs | |
| ECTS Kreditpunkte | 8 KP |
| Prüfende | O. Fink |
| Form | benotete Semesterleistung |
| Prüfungssprache | Englisch |
| Repetition | Repetition nur nach erneuter Belegung der Lerneinheit möglich. |
| Zusatzinformation zum Prüfungsmodus | Performance will be assessed during the semester based on -5 exercises, requiring the students to perform defined sub-tasks for designing a predictive maintenance system (60% of the final grade in total) -Presentation and reimplementation of a scientific journal paper recently published in the field of predictive maintenance (15%). -Report (including the implementation) and presentation of a real case study of designing a predictive maintenance system based on raw condition monitoring signals of a complex engineered system (25%) |