3 ECTS credits
80 h study time
Offer 1 with catalog number 4017020ENR for all students in the 2nd semester at a (E) Master - advanced level.
The course aims at mastering the basic tools for the design of model based systems for fault detection and isolation. The first part deals with the generation of fault indicators, also called residuals. The so-called parity space approach and the observer-based approach are successively developed in a deterministic framework and in a stochastic framework. The second part consists of the processing of the residuals to detect and isolate possible faults. To this end, statistical change detection/isolation algorithms are studied. Finally the use of parameter estimation methods is considered for fault detection.
The valid fiche can be found at the following link: MATH-H503
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Lectures and practical sessions are alternating, so that the students can directly implement the methods that have been presented in simulation on various case studies.
The students
- are able to design and implement the different parts of a diagnosis system (or a fault detection and isolation system)
- understand the hypothesis behind each method
- understand how to combine methods to design a complete diagnosis system
- are able to validate in a systematic way a software code involving stochastic processes
- are able to analyse and report in a critical way their simulation results
This course contributes to the following programme outcomes of the Master in Electronics and Information Technology Engineering:
The Master in Engineering Sciences has in-depth knowledge and understanding of
3. the advanced methods and theories to schematize and model complex problems or processes
The Master in Engineering Sciences can
4. reformulate complex engineering problems in order to solve them (simplifying assumptions, reducing complexity)
6. correctly report on research or design results in the form of a technical report or in the form of a scientific paper
7. 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
9. work in an industrial environment with attention to safety, quality assurance, communication and reporting
11. think critically about and evaluate projects, systems and processes, particularly when based on incomplete, contradictory and/or redundant information
The Master in Engineering Sciences has
12. a creative, problem-solving, result-driven and evidence-based attitude, aiming at innovation and applicability in industry and society
13. a critical attitude towards one’s own results and those of others
14. 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
15. the flexibility and adaptability to work in an international and/or intercultural context
16. an attitude of life-long learning as needed for the future development of his/her career
The Master in Electronics and Information Technology Engineering:
17. Has an active knowledge of the theory and applications of electronics, information and communication technology, from component up to system level.
20. Is able to analyze, specify, design, implement, test and evaluate individual electronic devices, components and algorithms, for signal-processing, communication and complex systems.
The final grade is composed based on the following categories:
Oral Exam determines 50% of the final mark.
Practical Exam determines 50% of the final mark.
Within the Oral Exam category, the following assignments need to be completed:
Within the Practical Exam category, the following assignments need to be completed:
An oral examination is organized. Each student submits a report on the practical sessions at least 7 days before the date of his/her oral examination. He/she has to answer a series of questions on this report during the oral examination. The final mark is the average between the mark of the report and the mark of the oral examination.
This offer is part of the following study plans:
Master of Electronics and Information Technology Engineering: Standaard traject (only offered in Dutch)
Master of Photonics Engineering: On campus traject
Master of Photonics Engineering: Online/Digital traject
Master of Electrical Engineering: Standaard traject BRUFACE J