110 http://isa.epfl.ch/imoniteur_ISAP/ itffichecours.txt?path=EPFL.Etu.FicheCours.HeaderFR itffichecours.txt?path=EPFL.Etu.FicheCours.GlobalNav_js fr 2026 84482813 2936286 84482813 2840683608 2840683608 0 1 Mineurs MINEUR !itffichecours.htm?ww_i_matiere=3200276537&ww_x_anneeAcad=2840683608&ww_i_section=84482813&ww_i_niveau=2936286 1696552884 1696552963 2025-2026 COURSE BOOKLET CIVIL-426 Machine learning for predictive maintenance applications Machine learning for predictive maintenance applications Lecturers Fink Olga Language of teaching English Cursus Civil Engineering(2025-2026, GC - Master 2024)
Civil Engineering(2025-2026, GC - Master 2025)
Civil engineering minor(2025-2026, Mineur : Génie civil 2025-26)
Data and Internet of Things minor(2025-2026, Data and Internet of Things minor 2025-26)
Management, Technology and Entrepreneurship(2025-2026, MTEE - Master 2024)
Management, Technology and Entrepreneurship(2025-2026, MTEE - Master 2025)
Mechanical Engineering(2025-2026, GM - Master 2024)
Mechanical Engineering(2025-2026, GM - Master 2025)
Robotics(2025-2026, MT_RO - Master 2024)
Robotics(2025-2026, MT_RO - Master 2025)
SemesterMand.OptionFilières
Hx
MA1, MA3x
MA1, MA3xA
MA1, MA3xC
 Credits 6 Withdrawal Unauthorized It is not allowed to withdraw from this subject after the registration deadline. Session Winter Workload 180h Exam During the semester Number of positions Il n'est pas autorisé de se retirer de cette matière après le délai d'inscription. Semester Fall Weeks 14 Hours 6 weekly
Courses 2 weekly
Exercises 2 weekly
Project 2 weekly
Study planSemesterMand.OptionFilières
Génie civil 2025-26MA1x
Génie civil 2025-26MA3x
Génie mécanique 2025-26MA1xC
Génie mécanique 2025-26MA3xC
Management, technologie et entrepreneuriat 2025-26MA1xC
Management, technologie et entrepreneuriat 2025-26MA3xC
Mineur : Génie civil 2025-26Hx
Minor : Data and Internet of Things 2025-26Hx
Robotique 2025-26MA1xA
Robotique 2025-26MA3xA
Cursus Sem. Type
Civil Engineering MA1, MA3 Opt.
Civil engineering minor H Opt.
Data and Internet of Things minor H Opt.
Managmt, tech et entr. MA1, MA3 Opt.
Mechanical engineering MA1, MA3 Opt.
Robotics MA1, MA3 Opt.
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. Content

Early and reliable detection, isolation and prediction of faulty system conditions enable operators to take corrective actions to prevent critical system failures, ensuring high levels of availability and safety. This is particularly crucial for complex systems such as infrastructures, power plants, and aircraft engines. Consequently, these systems are increasingly monitored by a large number of diverse condition monitoring sensors.

With the increased availability of system condition data and the growing complexity of explicit physics-based system models, the application of data-driven approaches for predictive maintenance has been rising recently.


This course provides insights and hands-on experience in selecting, designing, optimizing and evaluating machine learning algorithms to address the challenges faced by predictive maintenance systems in complex engineered systems.

Specific topics include:

-Introduction to condition monitoring and predictive maintenance systems

-Feature extraction and selection methodology

-Machine learning algorithms for fault detection and fault diagnostics

-End-to-end learning architectures for fault detection and fault diagnostics

-Unsupervised and semi-supervised learning algorithms for predictive maintenance

-Deep learning algorithms for predicting the remaining useful lifetime

-Performance evaluation of the algorithms

-Predictive maintenance systems at fleet level

-Domain adaptation for fault diagnostics

-Explainable machine learning algorithms for predictive maintenance

-Federated learning in predictive maintenance applications

-Graph Neural Networks for predictive maintenance applications

-Phyics-guided machine learning for predictive maintenance applications

-Introduction to decision support systems for maintenance applications

-Benefits and costs of predictive maintenance

 Keywords

machine learning; predictive maintenance, fault detection, fault diagnostics, prognostics, remaining useful lifetime

 

 Learning Prerequisites Required courses

Mandatory pre-requisite course: Introduction to machine learning for engineers or other introductory machine learning courses

 Learning Outcomes By the end of the course, the student must be able to:
  • Define the learning problem in way that allows its solution based on existing constraints such as lack of fault samples.
  • Design data-driven predictive maintenance applications for complex engineered systems from raw condition monitoring data.
  • Assess / Evaluate the performance of the applied algorithms.
  • Choose machine learning algorithms for fault detection, diagnostics and prognostics.
  • Interpret the results of the algorithms.
 Teaching methods

Lectures, excercises, final project

 Assessment methods

Performance will be assessed during the semester based on
-exercises that require students to work on various case studies to design a predictive maintenance system (accounting for 70% of the final grade)
-A final project involving a real case study (and real data) in designing a predictive maintenance system based on raw condition monitoring signals of a complex engineered system. This project requires students to submit a detailed report (including the implementation) and give a presentation, accounting for 30% of the final grade.

 Supervision Office hours Yes Assistants Yes Forum Yes Resources Virtual desktop infrastructure (VDI) No Moodle Link Génie civil, 2025-2026, Master semestre 1 Civil Engineering, 2025-2026, Master semester 1 Ecole polytechnique fédérale de Lausanne EPFL Ecole polytechnique fédérale de Lausanne EPFL 2025-2026 Master semestre 1 MA1 HIVER Master semester 1 MA1 Génie civil GC Civil Engineering GC
Génie civil GC Civil Engineering GC
optionnel optional
2 Cours Courses Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Fink Olga 349138
Génie civil GC Civil Engineering GC
2 Exercices Exercises Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Fink Olga 349138
Génie civil GC Civil Engineering GC
2 Projet Project Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Fink Olga 349138
Génie civil GC Civil Engineering GC
3200276537 Machine learning for predictive maintenance applications Machine learning for predictive maintenance applications 6
Pendant le semestre During the semester Crédit Credits 6 Session hiver Session winter HIV HIV
Génie civil, 2025-2026, Master semestre 3 Civil Engineering, 2025-2026, Master semester 3 Ecole polytechnique fédérale de Lausanne EPFL Ecole polytechnique fédérale de Lausanne EPFL 2025-2026 Master semestre 3 MA3 HIVER Master semester 3 MA3 Génie civil GC Civil Engineering GC
Génie civil GC Civil Engineering GC
optionnel optional
2 Cours Courses Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Fink Olga 349138
Génie civil GC Civil Engineering GC
2 Exercices Exercises Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Fink Olga 349138
Génie civil GC Civil Engineering GC
2 Projet Project Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Fink Olga 349138
Génie civil GC Civil Engineering GC
3200276537 Machine learning for predictive maintenance applications Machine learning for predictive maintenance applications 6
Pendant le semestre During the semester Crédit Credits 6 Session hiver Session winter HIV HIV
Génie mécanique, 2025-2026, Master semestre 1 Mechanical Engineering, 2025-2026, Master semester 1 Ecole polytechnique fédérale de Lausanne EPFL Ecole polytechnique fédérale de Lausanne EPFL 2025-2026 Master semestre 1 MA1 HIVER Master semester 1 MA1 Génie mécanique GM Mechanical Engineering GM
Génie mécanique GM Mechanical Engineering GM
C optionnel optional
2 Cours Courses Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Fink Olga 349138
Génie civil GC Civil Engineering GC
2 Exercices Exercises Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Fink Olga 349138
Génie civil GC Civil Engineering GC
2 Projet Project Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Fink Olga 349138
Génie civil GC Civil Engineering GC
3200276537 Machine learning for predictive maintenance applications Machine learning for predictive maintenance applications 6
Pendant le semestre During the semester Crédit Credits 6 Session hiver Session winter HIV HIV
Génie mécanique, 2025-2026, Master semestre 3 Mechanical Engineering, 2025-2026, Master semester 3 Ecole polytechnique fédérale de Lausanne EPFL Ecole polytechnique fédérale de Lausanne EPFL 2025-2026 Master semestre 3 MA3 HIVER Master semester 3 MA3 Génie mécanique GM Mechanical Engineering GM
Génie mécanique GM Mechanical Engineering GM
C optionnel optional
2 Cours Courses Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Fink Olga 349138
Génie civil GC Civil Engineering GC
2 Exercices Exercises Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Fink Olga 349138
Génie civil GC Civil Engineering GC
2 Projet Project Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Fink Olga 349138
Génie civil GC Civil Engineering GC
3200276537 Machine learning for predictive maintenance applications Machine learning for predictive maintenance applications 6
Pendant le semestre During the semester Crédit Credits 6 Session hiver Session winter HIV HIV
Management, technologie et entrepreneuriat, 2025-2026, Master semestre 1 Management, Technology and Entrepreneurship, 2025-2026, Master semester 1 Ecole polytechnique fédérale de Lausanne EPFL Ecole polytechnique fédérale de Lausanne EPFL 2025-2026 Master semestre 1 MA1 HIVER Master semester 1 MA1 Management, technologie et entrepreneuriat MTEE Management, Technology and Entrepreneurship MTEE
Management de la technologie MTE Management of Technology MTE
C optionnel optional
2 Cours Courses Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Fink Olga 349138
Génie civil GC Civil Engineering GC
2 Exercices Exercises Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Fink Olga 349138
Génie civil GC Civil Engineering GC
2 Projet Project Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Fink Olga 349138
Génie civil GC Civil Engineering GC
3200276537 Machine learning for predictive maintenance applications Machine learning for predictive maintenance applications 6
Pendant le semestre During the semester Crédit Credits 6 Session hiver Session winter HIV HIV
Management, technologie et entrepreneuriat, 2025-2026, Master semestre 3 Management, Technology and Entrepreneurship, 2025-2026, Master semester 3 Ecole polytechnique fédérale de Lausanne EPFL Ecole polytechnique fédérale de Lausanne EPFL 2025-2026 Master semestre 3 MA3 HIVER Master semester 3 MA3 Management, technologie et entrepreneuriat MTEE Management, Technology and Entrepreneurship MTEE
Management de la technologie MTE Management of Technology MTE
C optionnel optional
2 Cours Courses Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Fink Olga 349138
Génie civil GC Civil Engineering GC
2 Exercices Exercises Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Fink Olga 349138
Génie civil GC Civil Engineering GC
2 Projet Project Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Fink Olga 349138
Génie civil GC Civil Engineering GC
3200276537 Machine learning for predictive maintenance applications Machine learning for predictive maintenance applications 6
Pendant le semestre During the semester Crédit Credits 6 Session hiver Session winter HIV HIV
Robotique, 2025-2026, Master semestre 1 Robotics, 2025-2026, Master semester 1 Ecole polytechnique fédérale de Lausanne EPFL Ecole polytechnique fédérale de Lausanne EPFL 2025-2026 Master semestre 1 MA1 HIVER Master semester 1 MA1 Robotique MT_RO Robotics MT_RO
Microtechnique MT Microengineering MT
A optionnel optional
2 Cours Courses Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Fink Olga 349138
Génie civil GC Civil Engineering GC
2 Exercices Exercises Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Fink Olga 349138
Génie civil GC Civil Engineering GC
2 Projet Project Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Fink Olga 349138
Génie civil GC Civil Engineering GC
3200276537 Machine learning for predictive maintenance applications Machine learning for predictive maintenance applications 6
Pendant le semestre During the semester Crédit Credits 6 Session hiver Session winter HIV HIV
Robotique, 2025-2026, Master semestre 3 Robotics, 2025-2026, Master semester 3 Ecole polytechnique fédérale de Lausanne EPFL Ecole polytechnique fédérale de Lausanne EPFL 2025-2026 Master semestre 3 MA3 HIVER Master semester 3 MA3 Robotique MT_RO Robotics MT_RO
Microtechnique MT Microengineering MT
A optionnel optional
2 Cours Courses Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Fink Olga 349138
Génie civil GC Civil Engineering GC
2 Exercices Exercises Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Fink Olga 349138
Génie civil GC Civil Engineering GC
2 Projet Project Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Fink Olga 349138
Génie civil GC Civil Engineering GC
3200276537 Machine learning for predictive maintenance applications Machine learning for predictive maintenance applications 6
Pendant le semestre During the semester Crédit Credits 6 Session hiver Session winter HIV HIV
Data and Internet of Things minor, 2025-2026, Semestre automne Data and Internet of Things minor, 2025-2026, Autumn semester Ecole polytechnique fédérale de Lausanne EPFL Ecole polytechnique fédérale de Lausanne EPFL 2025-2026 Semestre automne H HIVER Autumn semester H Data and Internet of Things minor MIN_IOT Data and Internet of Things minor MIN_IOT
optionnel optional
2 Cours Courses Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Fink Olga 349138
Génie civil GC Civil Engineering GC
2 Exercices Exercises Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Fink Olga 349138
Génie civil GC Civil Engineering GC
2 Projet Project Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Fink Olga 349138
Génie civil GC Civil Engineering GC
3200276537 Machine learning for predictive maintenance applications Machine learning for predictive maintenance applications 6
Pendant le semestre During the semester Crédit Credits 6 Session hiver Session winter HIV HIV
Mineur en Génie civil, 2025-2026, Semestre automne Civil engineering minor, 2025-2026, Autumn semester Ecole polytechnique fédérale de Lausanne EPFL Ecole polytechnique fédérale de Lausanne EPFL 2025-2026 Semestre automne H HIVER Autumn semester H Mineur en Génie civil MIN_GC Civil engineering minor MIN_GC
optionnel optional
2 Cours Courses Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Fink Olga 349138
Génie civil GC Civil Engineering GC
2 Exercices Exercises Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Fink Olga 349138
Génie civil GC Civil Engineering GC
2 Projet Project Heure(s) hebdo x 14 semaines Hour(s) per week x 14 weeks H hebdo H hebdo Fink Olga 349138
Génie civil GC Civil Engineering GC
3200276537 Machine learning for predictive maintenance applications Machine learning for predictive maintenance applications 6
Pendant le semestre During the semester Crédit Credits 6 Session hiver Session winter HIV HIV
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