Diagnostic et systèmes industrielsE.A. Génie des procédés 2 (MRI)

The purpose of this module is to present the tools and methods needed to design a diagnostic system for industrial processes. The essential role of a diagnostic system is to detect and locate a defect before it leads to a serious failure of the system. The implementation of this type of method therefore contributes to the safety of operation and the availability of the installation.

Knowledge about the use of Matlab/Simulink software is a plus.

1. Introduction to Diagnostics

2. Diagnostic System

   1. The principles of diagnostic synthesis
   2. Diagnostic based model
   3. Monitoring the state of a system
   4. Diagnosis by analytical redundancy

3. Control and Diagnostic

4. Case study

   1. Modeling and simulation of systems with Matlab/Simulink
   2. Synthesis of a diagnostic system

Evaluation is done using Matlab/Simulink software.

• BLANKE, M., SCHRÖDER, J., KINNAERT, M., LUNZE, J. and STAROSWIECKI, M., 2013. Diagnosis and Fault-Tolerant Control. Springer Berlin Heidelberg.
• ISERMANN, Rolf, 2011. Fault-Diagnosis Applications: Model-Based Condition Monitoring Actuators, Drives, Machinery, Plants, Sensors, and Fault-tolerant Systems. 1st. Springer Publishing Company, Incorporated.
• PATRICK, LYONNET, MARC, THOMAS and ROSARIO, TOSCANO, 2012. Reliability, diagnosis and maintenance of systems. Lavoisier.
• TOSCANO, R., 2005. Control and diagnosis of dynamic systems: modeling, analysis, PID and feedback control, diagnosis. [online]. Ellipses. Technosup (Paris).