Sistemi di Supervisione Adattativi - Supervision and Adaptive Systems

  • Codice Classroom del Corso: 4bwlq5n


    •     Supervision and Adaptive Systems. Modulo di 64 ore (8 CFU) al I anno della Laurea Magistrale in Ingegneria Informatica e dell'Automazione e Laurea Magistrale in Meccanica. Dipartimento di Ingegneria dell'Università di Ferrara
     
     

    Course Programme

  • Introduction: Course Introduction
  • Issues in Model-Based Fault Diagnosis
  • Fault Detection and Isolation (FDI) Methods Based on Analytical Redundancy
  • Model-based Fault Detection Methods

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  • Issues in Model-Based Fault Diagnosis
  • Model Uncertainty and Fault Detection
  • The Robustness Problem in Fault Detection
  • System Identification for Robust FDI
  • Fault Identification Methods
  • Modelling of Faulty Systems

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  • Residual Generation Techniques
  • The Residual Generation Problem

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  • Fault Diagnosis Technique Integration
  • Neural Networks in Fault Diagnosis

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  • Residual Robustness to Disturbances

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  • Application Examples

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    Downloads: Lecture Notes


     

    Argomenti Dettagliati delle Lezioni di Teoria

    0. Introduzione al Corso

    1. Elementi di Supervisione e di Diagnosi dei Guasti per Processi Dinamici

    2. Il Metodo della Stima Parametrica come Tecnica di Generazione dei Residui per il Rilevamento dei Guasti di Processo o Sistema

    3. Reti Neurali per la Modellistica e la Diagnosi dei Guasti nei Processi Dinamici

    4. Esercitazioni Pratiche al PC in Laboratorio di Informatica

    5. Esempi Pratici di Progetto e Applicazione di Sistemi di Supervisione Adattativi ai Processi Dinamici. Esercizi in Preparazione all'Esame


     
     
     

    References: Monographs and Textbooks on FDI

  • Simani, S. and Fantuzzi, C. and Patton, R. J., "Model-based fault diagnosis in dynamic systems using identification techniques", Springer-Verlag, 2002. ISBN 1852336854. Advances in Industrial Control Series. London, UK. First Eq. November, 2002. (298 pages).
  • Chen, J. and Patton, R. J., "Robust Model-Based Fault Diagnosis for Dynamic Systems", Kluwer Academic Publishers, 1999. ISBN: 0792384113.

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    Downloads: Related Readings

  • "Model-Based Fault Diagnosis for Industrial Processes" (Silvio Simani's Extended Report, October 2007): (PDF file, 35 MB).
  • Parameter Estimation Examples for Fault Detection. Matlab and Simulink files and models for Matlab 6.1: (zipped Matlab and Simulink files, 5 KB).
  • Recursive Estimation Examples. 2 Matlab files for Matlab 6.1: (zipped Matlab and Simulink files, 2 KB).
  • Design Example of Output Observer for FDI. Example with Noise (Matlab and Simulink files and models for Matlab 6.1): (zipped Matlab and Simulink files, 7 KB).
  • Design Example of Output Observers for FDI. SIMO Model with three Observers. (2 Matlab files and 1 Simulink model for Matlab 6.1): (zipped Matlab and Simulink files, 5 KB).
  • Examples taken from Matlab Exchange Files Web Site: (i) implementation of a two-layers two-neurons network, (ii) multi-layer perceptron training with variable learning rate, (iii) character recognition GUI. Zipped Matlab file (495 KB).
  • Examples of nonlinear models and neural network training. Zipped Matlab and Simulink directories (14 MB).
  • Examples of integration of neural networks with dynamic observers and filters for fault detection and isolation. Zipped Matlab and Simulink directories (5 MB).

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