Olga Fink
EPFL ENAC IIC IMOS
GC A3 424 (Bâtiment GC)
Station 18
1015 Lausanne
Web site: Web site: https://IMOS.epfl.ch
+41 21 693 66 29
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Teaching & PhD
Teaching
Civil Engineering
PhD Students
Faghih Niresi Keivan, Garmaev Sergei, Nejjar Ismail, Sharma Vinay, Sun Han, Theiler Raffael Pascal, Von Krannichfeldt Leandro, Wei Amaury Pierre Jiezhi, Xu Chenghao, Zhang Zepeng, Zhao Mengjie,Courses
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
Early and reliable detection, isolation and prediction of faulty system conditions enables the operators to take recovery actions to prevent critical system failures and ensure a high level of availability and safety. This is particularly crucial for complex systems such as infrastructures, power plants and aircraft engines. Therefore, their system condition is increasingly tightly monitored by