Course

CIVIL-426: Machine learning for predictive maintenance applications

Summary

The course aims to develop machine learning algorithms capable of efficiently detecting faults in complex industrial and infrastructure assets, isolating their root causes, and ultimately predicting their remaining useful lifetime.

Lectures

Instructor

Olga Fink

Teaching & PhD PhD Students Han Sun, Leandro Von Krannichfeldt, Keivan Faghih Niresi, Zepeng Zhang, Vinay Sharma, Chenghao Xu, Raffael Pascal Theiler, Kevin Antonio Steiner, Sergei Garmaev, Amaury Wei Past EPFL PhD Students Ismail Nejjar, Mengjie Zhao Courses Data Science for infrastructure condition monitoring CIVIL-332 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

Official source

https://edu.epfl.ch/coursebook/en/machine-learning-for-predictive-maintenance-applications-CIVIL-426

Moodle Page

http://go.epfl.ch/CIVIL-426

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Summary

Lectures

Instructor

Olga Fink

Official source

https://edu.epfl.ch/coursebook/en/machine-learning-for-predictive-maintenance-applications-CIVIL-426

Moodle Page

http://go.epfl.ch/CIVIL-426

About this result

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