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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

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Systems Monitoring, Diagnostics and Reliability - 5EUS5SDR

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  • Number of hours

    • Lectures : 32.0
    • Tutorials : -
    • Laboratory works : 28.0
    • Projects : -
    • Internship : -
    ECTS : 5.0
  • Officials : Christophe BERENGUER

Goals

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

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) Model-based Diagnosis : Introduction, basic concepts, motivation and preliminaries: fault detection and isolation and its use for fault-tolerance and complex systems monitoring and safety. Process models and fault modelling. Presentation of the different approaches and focus on the model-based approach. ; Fault detection with parity equations - Static and dynamic cases: Analytical redundancy, parity equations and generation of residuals. Enhanced and structured residuals. Properties and analysis of residual signals ; Fault detection and isolation with state observers and state estimation. Unknown inputs observers. Observers banks.
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

CC 50% + CT 50%

The exam is given in english only FR

Calendar

The course exists in the following branches:

see the course schedule for 2020-2021

Additional Information

Course ID : 5EUS5SDR
Course language(s): FR

You can find this course among all other courses.

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.
*R. Isermann, Fault-Diagnosis Systems - An Introduction from Fault Detection to Fault Tolerance. Springer, 2006.

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Date of update February 8, 2017

Université Grenoble Alpes