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Ecole nationale supérieure de l'Énergie, l'Eau et l'Environnement
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Engineering school in energy, water and environment
Our engineering & master degrees
Our engineering & master degrees

> Studies > E3-STU-COURSES

Monitoring, diagnosotics, safety of systems - 5EUS5SDR

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  • Number of hours

    • Lectures : 32.0
    • Laboratory works : 28.0
    ECTS : 5.0

Goals

The main purpose of this course is to give a thorough introduction to system monitoring, diagnosis and safety & reliability

Contact Christophe BERENGUER

Content

1) Introduction to systems monitoring and safety : main issues and challenges
2) Probabilistic approaches of surveillance - Change Detection & Decision Theory :Statistical tools : estimation & detection tools ; Abrupt change detection problem : definition, signals, abrupt changes, and real-time approach ; Signals with independent samples : mean and variance change detection, CuSum, GLR, and 2-model approach algorithms, multivariate signals ; Signals with dependent samples. Labworks : real time implementation of change detection algorithms on experimental data
3) Machine learning for systems monitoring : Basics of Statiscal decision theory ; Supervised methods (Generative approaches, Discriminant approaches, logistic regression, SVM) ; Unsupervised methods (Clustering, K-Means, EM)
4) Systems reliability : Probabilistic failure models and lifetime modelling ; Reliability modelling and analysis of systems of independent components (Fault Tree Analysis, Reliability Block Diagrams, Event Tree Analysis, Structure Function, Minimal Cutsets, Importance Measures) ; Markov processes for systems reliability modelling (systems with dependent components, passive redundancies, tested components, ...) ; Reliability of maintained systems and maintenance policies modelling ; Reliability of safety instrumented systems (IEC 61508)
5) Advanced lab projects on systems monitoring



Prerequisites

Basics of statistics and probability, and a first course in signal processing

Tests

Session 1 : 50% CT + 50% CC
Session 2 : R replaces CT



Note CT : note de DS (DS 1h + DS 2h)
Note CC : note BE et mini-projet

Additional Information

Curriculum->Master's Degree in Engineering ASI->Semester 9
Curriculum->Master's Degree in Engineering IEE->Semester 9

Bibliography

*Marvin Rausand, Arnljot Hoyland, System Reliability Theory - Models, Statistical Methods and Applications. Wiley Series in Probability and Statistics. 2004.
*J.D. Andrews, T.R. Moss, Reliability and Risk Assessment. Longman Scientific & Technical. 1993
*M. Modarres, What every engineer should know about Reliability and Risk Analysis. Marcel Dekker. 1993
*R. B. Randall. Vibration-based condition monitoring. John Wiley & sons Ltd, 2011.

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Date of update February 8, 2017

Grenoble INP Institut d'ingénierie Univ. Grenoble Alpes