Catalogue des formations

Diplômes intégrant cet élément pédagogique :

• Master Electronique, énergie électrique, automatique

Descriptif

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

Bibliographie

• S. Gentil (Ed.), "Supervision des procédés complexes", HERMES Systèmes automatisés, 2007.
• Isermann, "Fault diagnosis systems", Springer, 2006.
• Blanke, Kinnaert, Lunze, Staroswiecki, "Diagnosis and fault tolerant control", Springer, 2003.

Informations complémentaires

Lieu(x) : Grenoble
Langue(s) : Anglais