Number of hours
- Lectures 12.0
- Projects -
- Tutorials 3.0
- Internship -
- Laboratory works 12.0
- Written tests -
Fault detection and isolation (FDI)is a subfield of control engineering which involves monitoring a system, identifying when a fault has occurred, and pinpointing the type of fault and its location. Model-based techniques of fault detection and isolation use a model to investigate/analyze the occurrence of faults. The system model may be mathematical or knowledge-based. We focus our attention on mathematical models.
There ar only tree main approaches. The observer-based approach, the parity-space approach, and parameter identification-based methods. In order to optimize FDI indications, the following two step are developped :
The first step is to design a filter based on a model of the plant to generate a vector known as the residual. The residual should ideally be zero (or zero mean) under no-fault conditions.
The second step is to make decisions on whether a fault has occurred. This step is usually done using statistical tools to test if the residual has significantly deviated from zero.Prerequisites
State space representation
Algebre of matrice : Rank, ker, eigenvalue ...
E1 = Final exam session 1, calculators authorized + 1 handwritten sheet A4 R/V, duration 1h30.
E2 = Final exam session 2, calculators authorized + 1 handwritten sheet A4 R/V, duration 1h30.
TP = Practical work
The exam is given in english only
The course exists in the following branches:
Course ID : 5AMAC514
You can find this course among all other courses.
Maquin D., Ragot J., 2000, "Diagnostic des systèmes linéaires" éditions Hermes.
Jie Chen and R.J. Patton, 1999, "Robust model-based fault diagnosis for dynamic systems", Kluwer Academic Publischers.
R.J. Patton, P. Frank and R. N. Clark, 1999, "Issues of fault diagnosis for dynamics systems" editions Springer.