3 ECTS credits
80 h study time

Offer 1 with catalog number 4016382FNR for all students in the 1st semester at a (F) Master - specialised level.

Semester
1st semester
Enrollment based on exam contract
Impossible
Grading method
Grading (scale from 0 to 20)
Can retake in second session
Yes
Taught in
English
Partnership Agreement
Under interuniversity agreement for degree program
Faculty
Faculteit Ingenieurswetenschappen
Department
Electrical Engineering and Power Electronics
External partners
Université libre de Bruxelles
Educational team
Pierre-Etienne Labeau (course titular)
Activities and contact hours
18 contact hours Lecture
18 contact hours Seminar, Exercises or Practicals
Course Content

The valid fiche can be found at the following link : PHYS-H514. Change the language to English in the dropdown menu on top of the page.

Relevance of RAMS studies. Basic concepts. Deterministic safety studies vs. probabilistic risk assessment. Operational feedback in RAMS. Modelling of one component - elements of renewal theory. Boolean qualitative and quantitative analysis methods for multi-component systems (reliability block diagrams, fault trees, event trees). Markovian reliability and modelling of functional dependencies. RAMS modelling based on Petri nets and Monte Carlo simulation. Maintenance policies and technological obsolescence. Dynamic reliability. Human reliability.

Additional info

Teaching methods : Oral lectures with many exercises and tutorials, some of which on commercial software.

Other teaching material : slides + reference books

References, bibliography and recommended reading : A. Pagès & M. Gondran, 'Fiabilité des Systèmes', Eyrolles, Paris, 1980.  H. Kumamoto & E.J. Henley, 'Probabilistic Risk Assessment and Management for Engineers and Scientists', 2nd edition, IEEE Press, New York, 1996.  M. Modarres, 'What Every Engineer Should Know About Reliability and Risk Analysis', Marcel Dekker Inc., New York, 1993.  A. Lannoy, 'Analyse Quantitative et Utilité du Retour d'Expérience pour la Maintenance des Matériels et de la Sécurité', Eyrolles, Paris, 1996.  A. Dubi, 'Monte Carlo Applications in System Engineering', John Wiley & Sons, Chichester, 1999.  J. Libmann, 'Eléments de Sûreté Nucléaire', IPSN, Les Editions de Physique, 1996.  T. Bedford & R. Cooke, 'Probabilistic Risk Analysis - Foundations and Methods', Cambridge University Press, 2001.

Learning Outcomes

Algemene competenties

This course treats the issues of safety and performances of industrial systems subject to failures. It provides an overview of the main methodologies used in RAMS (Reliability, Availability, Maintainability and Safety) assessments.

Scientific competences

Can collaborate in a (multidisciplinary) team.

Scientific competences

Can work in an industrial environment with attention to safety, quality assurance, communication and reporting.

Scientific competences

Can develop, plan, execute and manage engineering projects at the level of a starting professional.

Attitudes

Having consciousness of the ethical, social, environmental and economic context of his/her work and strives for sustainable solutions to engineering problems including safety and quality assurance aspects.

Attitudes

Having the flexibility and adaptability to work in an international and/or intercultural context.

Attitudes

Having an attitude of life-long learning as needed for the future development of his/her career.

Knowledge oriented competences

Having in-depth knowledge and understanding of exact sciences with the specificity of their application to engineering.

Knowledge oriented competences

Having in-depth knowledge and understanding of the advanced methods and theories to schematize and model complex problems or processes.

Knowledge oriented competences

Having an in depth scientific knowledge, understanding and skills in at least one of the subfields needed to design, produce, apply and maintain complex mechanical, electrical and/or energy systems.

Knowledge oriented competences

Having an in-depth understanding of safety standards and rules with respect to mechanical, electrical and energy systems.

Scientific competences

Can reformulate complex engineering problems in order to solve them (simplifying assumptions, reducing complexity).

Scientific competences

Can conceive, plan and execute a research project, based on an analysis of its objectives, existing knowledge and the relevant literature, with attention to innovation and valorization in industry and society.

Scientific competences

Can correctly report on research or design results in the form of a technical report or in the form of a scientific paper.

Scientific competences

Can present and defend results in a scientifically sound way, using contemporary communication tools, for a national as well as for an international professional or lay audience.

Grading

The final grade is composed based on the following categories:
Oral Exam determines 50% of the final mark.
Written Exam determines 50% of the final mark.

Within the Oral Exam category, the following assignments need to be completed:

  • oral exam with a relative weight of 5 which comprises 50% of the final mark.

Within the Written Exam category, the following assignments need to be completed:

  • written exam with a relative weight of 5 which comprises 50% of the final mark. This is a mid-term test.

Additional info regarding evaluation

Method of assessment : Oral exam on theory and exercises

Distribution of the different learning activities in the grading system : Theory (50%) and exercises (50%)

Allowed unsatisfactory mark
The supplementary Teaching and Examination Regulations of your faculty stipulate whether an allowed unsatisfactory mark for this programme unit is permitted.

Academic context

This offer is part of the following study plans:
Master of Electromechanical Engineering: Robotics and Mechanical Construction (only offered in Dutch)
Master of Electromechanical Engineering: Robotics and Mechanical Construction
Master of Electromechanical Engineering: Energy