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Scheda Riassuntiva
Anno Accademico 2019/2020
Scuola Scuola di Ingegneria Industriale e dell'Informazione
Insegnamento 093060 - SAFETY IN AUTOMATION SYSTEMS
Docente Scattolini Riccardo
Cfu 5.00 Tipo insegnamento Monodisciplinare

Corso di Studi Codice Piano di Studio preventivamente approvato Da (compreso) A (escluso) Insegnamento
Ing Ind - Inf (Mag.)(ord. 270) - MI (473) AUTOMATION AND CONTROL ENGINEERING - INGEGNERIA DELL'AUTOMAZIONE*AZZZZ093060 - SAFETY IN AUTOMATION SYSTEMS
Ing Ind - Inf (Mag.)(ord. 270) - MI (481) COMPUTER SCIENCE AND ENGINEERING - INGEGNERIA INFORMATICA*AZZZZ093060 - SAFETY IN AUTOMATION SYSTEMS

Obiettivi dell'insegnamento

The first part of the course is aimed at allowing the student to learn and apply the main techniques for the hazard and reliability analysis of industrial systems, such as Preliminary Hazard Analysis, Failure Mode and Effect Analysis, Fault Tree Analysis. In the second part, the course focuses on the most widely used methods for the fault detection and diagnosis of complex systems. In particular, the main data-driven methods are discussed, such as control charts and principal component analysis. Analytical fault detection techniques based on state observers, parity space equations, recursive estimation algorithms are also presented. Finally, some methods for the design of fault tolerant control systems are described. All these methods are applied to some industrial test cases to witness their potentialities and limitations.


Risultati di apprendimento attesi

Lectures and exercise sessions will allow the students to:

  • Complete a functional and architectural analysis of the system, and to define the main reliability indices, operating modes, targets, risks.
  • Apply the main System Hazard Analysis techniques used in industry, to specific test cases.
  • Draw conclusions and propose modifications in the design phase to improve the safety.
  • Apply univariate and multivariate statistical analysis to detect on-line  faults or operational changes of the system.
  • Design fault detection methods to improve the safety and implement predictive maintenance procedures.
  • Design fault tolerant control schemes.

The laboratory training sessions will make use of computer simulation tools and will allow students to learn how to:

  • Simulate a dynamic system in safe and fault conditions.
  • Implement fault detection algorithms.
  • Design and test fault tolerant control schemes.

 


Argomenti trattati
  1. Introduction to the safety analysis of industrial systems.
  2. Preliminary Hazard Analysis and HAZard and OPerability analysisin automation systems.
  3. Risk analysis techniques: Failure Mode and Effect Analysis, Fault Tree Analysis, Cause Consequence Analysis.
  4. Introduction to the fault detection problem: data-driven and analytical redundancy methods, qualitative approaches.
  5. Statistical Quality Control, control charts, principal component analysis.
  6. On-line diagnosis with parity space equations, state observers, parameter estimation.
  7. Design of fault tolerant control systems.

Prerequisiti

Students are required to know:

Basics of automatic control, observer design methods, model predictive control.

Basics of model identification, filtering and data analysis. 


Modalità di valutazione

The exam is divided into two parts. In the first one the student is required to complete the hazard analysis of an engineering system. The project must be submitted in power point or pdf form and can be developed by groups of 2-3 students.

The second part, referred to fault detection techniques, consists of a written exam.

In the written exam students must prove to be able to apply to simple numerical examples the main fault detection methods, and in particular:

  • Select the proper fault detection technique based on the system’s characteristics.
  • Apply the selected design method and critically evaluate the achieved results and their sensitivity to the adopted design choices, such as thresholds selection.
  • Describe the achieved results in a clear and convincing way

Bibliografia
Risorsa bibliografica obbligatoriaSlides
Note:

http://corsi.metid.polimi.it/

Risorsa bibliografica facoltativaA. Villemeur, Reliability, availability, maintainability and safety assessment, Editore: Wiley & Sons, Anno edizione: 1991
Risorsa bibliografica facoltativaL.H. Chiang, E.L. Russel, R.D. Braatz, Fault detection and diagnosis in industrial systems, Editore: Springer, Anno edizione: 2001
Risorsa bibliografica facoltativaJ.J. Gertler, Fault Detection and diagnosis in engineering systems, Editore: Marcel Dekker, Anno edizione: 1998

Forme didattiche
Tipo Forma Didattica Ore di attività svolte in aula
(hh:mm)
Ore di studio autonome
(hh:mm)
Lezione
30:00
50:00
Esercitazione
12:00
25:00
Laboratorio Informatico
8:00
0:00
Laboratorio Sperimentale
0:00
0:00
Laboratorio Di Progetto
0:00
0:00
Totale 50:00 75:00

Informazioni in lingua inglese a supporto dell'internazionalizzazione
Insegnamento erogato in lingua Inglese
Disponibilità di materiale didattico/slides in lingua inglese
Disponibilità di libri di testo/bibliografia in lingua inglese
Possibilità di sostenere l'esame in lingua inglese
schedaincarico v. 1.6.5 / 1.6.5
Area Servizi ICT
20/09/2020