101-0521-10L  Machine Learning for Predictive Maintenance Applications

SemesterSpring Semester 2020
LecturersO. Fink
Periodicityyearly recurring course
Language of instructionEnglish
CommentThe 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.

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits8 credits
ExaminersO. Fink
Typegraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.
Additional information on mode of examinationPerformance 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%)