35166 - Diagnosis And Control M

Academic Year 2022/2023

  • Docente: Andrea Tilli
  • Credits: 6
  • SSD: ING-INF/04
  • Language: English

Learning outcomes

The course aims to give a systematic overview of the primary methodologies and technical norms that have to be used to rationally overcome issues related to faults and malfunctioning affecting modern engineering systems. The course topics include fault diagnosis methodologies as well as functional safety tools and standards that regulate the design of safety-critical systems. At the end of the course, - students will know fundamental tools and procedures to deal with failure/hazard analysis, occurrence/risk assessment, and occurrence/risk reduction; - students will know some relevant tools and methods to design fault detection and isolation algorithms linked to system and control theory.

Course contents

Introduction:

- Basic concepts;

- Nomenclature.

Reliability and Availability:

- Main definitions and concepts;

- Basics of non-state space methods;

- Basics of state space methods;

Safety:

- Safety critical systems;

- The IEC61508 standard;

- Safety life cycle;

- Fault Analysis techniques (HAZOP, FMEA, FTA)

- Layer of Protection Analysis (LOPA);

- SIL levels;

Redundancy for Fault Tolerance:

- Static and Dynamic redundancy;

- Architectures and performance;

- Analytic redundancy.

Basics of some application domains:

- Automatic machines;

- Automotive.

Model Based Fault Diagnosis;

- Basics on Fault Detection and Isolation (FDI) and links with
  previous Sections.

- Signal-based methods
  (useful for Model-based ones as well; SHT: LRT, GLRT, SPRT
   \Chi^2)

- Parity equations (I/O and SS models, Deterministic/Stochastic)

- Unknown Input Observers (UIO).

 

REMARK: Contents are under review

Readings/Bibliography

Material provided by the teacher (teaching material) is available on Virtuale (virtuale.unibo.it)
(copies of the slides and handwritten notes, examples of exam questions, exam and registration rules, etc.).
Students are recommended to register in the Virtuale list as soon as possible in order to download the material and to receive communications about the course sent by the instructor to the list members. These communications are fundamental for the course and the instructor will assume that all of the Students are receiving them (no excuses will be accepted).
Password for registration will be given in the first lesson. For motivated late registrations, please send an email to the instructor with the following tag in the subject [D&C-M_LateReg].
Please, note that registering yourself in Virtuale does not imply that Diagnosis and Control M will be in your study plan. Virtuale is just a teaching support system. To include this course in your study plan (reported in Almaesami) as an elective course, you have to follow the procedure of your Master's degree program.

Remark: for some of the course topics, slides give just an overview and significant additional parts will be presented on the blackboard/virtual board. For such parts, some handwritten notes will be provided, but complete coverage of all contents is not guaranteed.
In general, Students are expected to take their own notes to cover completely all of the contents presented in this course or to ask classmates for notes, whether they cannot attend some lessons.

 

Books:

Reliability Engineering
[1] A. Birolini, Reliability Engineering: Theory and Practice, Springer, ISBN 9783642149528, 2010.

Fault Analysis
[2] J.D. Andrews, T.R. Moss, Reliability and Risk Assessment, Professional Engineering Publications, ISBN 1860582907, 2002.

Functional Safety
[3] D.J. Smith, K.G.L. Simpson, Safety Critical Systems Handbook: a straightforward guide to functional safety, IEC 61508 (2010 edition) and related standards, including process IEC 61511 and machinery IEC 62061 and ISO 13849, Elsevier Science, ISBN 9780080967820, 2010.

Model Based FD
[4] R.J. Patton, P.M. Frank, R.N. Clark, Issues of Fault Diagnosis for Dynamic Systems, Springer, ISBN 3540199683, 2000.
[5] J. Chen, R.J. Patton, Robust Model-Based Fault Diagnosis for Dynamic Systems, Kluwer Academic Publishers, ISBN 0792382595, 1999.

Fault Tolerance
[6] M. Blanke, M. Kinnaert, J. Lunze, Diagnosis and Fault-tolerant Control, Springer, ISBN 3540010564, 2003.
[7] R. Isermann, Fault-Diagnosis Systems: An Introduction from Fault Detection to Fault Tolerance, Springer, ISBN 3540241124, 2006.

Teaching methods

Traditional classes, supported by PC presentations (copy of the slides are available on Virtuale).
Some parts of the course are presented only by using the blackboard (for such parts, students are recommended to take their own notes or to ask for notes to classmates, attending classes).

Lectures in collaboration with companies and academic institutions

 

IMPORTANT: For any communication to the instructor, students are requested to use email (no Virtuale messages - Virtuale will be used by the instructor only, to reach out to all of the students; no Teams messages; etc.). In addition, students are requested to put the tag [D&C-M] in the email subject, otherwise the email might be lost. Also, it is needed to put the course tutor in cc, as well as other people according to what requested by instructor during classes or what reported in the instruction file in Virtuale.

Assessment methods

Final written exam including theoretical questions and simple exercises.

Detailed rules concerning exam characteristics (including how to book it), marks and registration procedure are given in a pdf file in the Teaching Material on Virtuale.

IMPORTANT: in order to do the exam, it is MANDATORY to be registered in the exam session lists in Almaesami, by the closing date of the specific lists. No exceptions will be possible. Students are expected to pay much attention to their registration in the exam lists and the related deadlines.
Some messages might be sent to the list of Students registered for a particular exam session (in particular, after the closing of the list). These messages are fundamental for the exam arrangement (they include some mandatory instructions), therefore Students are recommended to read them carefully.

Teaching tools

PC presentations, blackboard

Office hours

See the website of Andrea Tilli

SDGs

Quality education Industry, innovation and infrastructure

This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.