35166 - Diagnosis And Control M

Course Unit Page


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

Quality education Industry, innovation and infrastructure

Academic Year 2021/2022

Learning outcomes

The course aims to give a systematic overview of the main available methodologies and of the technical norms that should be used to rationally overcome problems due to faults and malfunctioning affecting modern automatic systems. Fault diagnosis and fault tolerant control methodologies as well as the functional safety tools, norms and standards that regulate safety-critical systems design are topics of the course. At the end of the course students are able to design algorithms for fault detection, to design fault tolerant schemes, and have an overview of safety norms in industrial settings.

Course contents


- Basic concepts;

- Nomenclature.

Reliability and Availability:

- Main definitions and concepts;

- Basics of non-state space methods;

- Basics of state space methods;


- 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

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

- Unknown Input Observers (UIO).


REMARK: Contents are under review


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/emails about the course sent by the instructor to the list members. Password for registration will be given in the first lesson (visible online at “virtual learning“ link). For motivated late registrations, please send an email to the instructor with the following tag in the subject [DIAG_LateReg].

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.



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 IoL).
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

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.

For online exams, EoL and Zoom will be adopted. As a starting point, please refer to the general rules provided by the University.
In addition, specific mandatory exam instructions and rules will be sent to the list of exam participants for each specific exam session. These will be sent right after the closing of the exam list, therefore late registrations or out-of-the-list participants cannot be accepted (there is no way to manage such cases in a fair way with respect to regular students in the exam lists).

Teaching tools

PC presentations, blackboard

Office hours

See the website of Andrea Tilli