EPFL ENAC IIC IMOS
GC A3 424 (Bâtiment GC)
Web site: Web site: https://IMOS.epfl.ch
Teaching & PhD
PhD StudentsFaghih Niresi Keivan, Garmaev Sergei, Nejjar Ismail, Sharma Vinay, Sun Han, Theiler Raffael Pascal, Von Krannichfeldt Leandro, Zhao Mengjie,
Data Science for infrastructure condition monitoring
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.
Machine learning for predictive maintenance applications
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.