Master level
The course aims at developing machine learning algorithms that are able to use condition monitoring data efficiently and detect occurring faults in complex industrial assets, isolate their root cause, and ultimately predict the remaining useful lifetime.
Section of Civil Engineering
Teachers: Fink Olga
Language: English
Academic term: 2024-2025
Semester: Fall
Credits: 4
Bachelor level
The course will cover the relevant steps of data-driven infrastructure condition monitoring, starting from data acquisition, going through the steps pre-processing of real data, feature engineering to developing suitable machine learning algorithms.
Section of Civil Engineering
Teachers: Fink Olga
Language: English
Academic term: 2024-2025
Semester: Spring
Credits: 3