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Degrees incorporating this pedagocial element :
Description
Safety, supervision and diagnosis of industrial plants
The objective of this class is to introduce the concept of fault detection and fault diagnosis for complex systems and to present different classes of methods which have proven their performances in practical applications.
| Lesson | Topic | |
|---|---|---|
| 1 | Introduction to supervision | |
| Tasks of supervision, terminology. | ||
| 2 | Model-based fault detection | |
| Parity equations, observers, on line estimation of model parameters. | ||
| 3 | Signal-based fault detection | |
| Features extraction using time, frequency and time-frequency transformation, pattern comparison. Temporal change detection. | ||
| 4 | Data-driven fault detection methods | |
| Fault diagnosis with pattern recognition, fault diagnosis with principal component analysis. | ||
| SUPERVISION LABS | ||
| Lab 1 | Fault detection in a two-tanks system using a bank of observers | |
| Lab 2 | On-line detection of deep sleep using EEG spectral power | |
| Lab 3 | Diagnosis of a mineral treatment unit using pattern recognition | |
| Lab 4 | Sensor fault detection in an air quality monitoring network using principal component analysis |
Courses offered by :
In brief
Period : Semestre 9Credits : 3
Number of hours
- Lectures (CM) : 15h
- Tutorials (TD) : 15h
Language(s) : English
International students
Open to exchange students