UE Supervision and diagnosis

Diplômes intégrant cet élément pédagogique :


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. 



Introduction to supervision 


Tasks of supervision, terminology.

Model-based fault detection 


Parity equations, observers, on line estimation of model parameters.

Signal-based fault detection 


Features extraction using time, frequency and time-frequency transformation, pattern comparison. Temporal change detection.

Data-driven fault detection methods 


Fault diagnosis with pattern recognition, fault diagnosis with principal component analysis.




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 


  • 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