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Model-Based and Data-Driven Fault Detection and Isolation
Course teacher(s)
Michel KINNAERT (Coordinator)ECTS credits
See programme details
Language(s) of instruction
english
Course content
1. Generation of fault indicators
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Parity space approach to the generation of fault indicators (or residuals)
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Observer-based approach to residual generation
Both methods are developed in a deterministic and in a stochastic framework
2. Statistical change detection algorithms for decision system design
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Introduction for statistical process control
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Shewart and exponentially weighted moving average (EWMA) control chart
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Cumulative sum (CUSUM) algorithm and generalized likelihood ration algorithm
3. Change detection based on parameter estimation methods
Objectives (and/or specific learning outcomes)
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To master the principles of the design of fault detection and isolation systems, based on an mathematical model of the supervised process.
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To get acquainted with some on-line change detection algorithms and to be able to use them in a decision system
Teaching methods and learning activities
The lectures alternate with implementation of the methods on simple case studies using the MATLAB/SIMULINK software.
Contribution to the teaching profile
This teaching unit contributes to the following competences:
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In-depth knowledge and understanding of the advanced methods and theories to schematize and model complex problems or processes
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Reformulate complex engineering problems in order to solve them (simplifying assumptions, reducing complexity)
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Correctly report on research or design results in the form of a technical report or in the form of a scientific paper
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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
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Work in an industrial environment with attention to safety, quality assurance, communication and reporting
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Think critically about and evaluate projects, systems and processes, particularly when based on incomplete, contradictory and/or redundant information
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A creative, problem-solving, result-driven and evidence-based attitude, aiming at innovation and applicability in industry and society
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A critical attitude towards one’s own results and those of others
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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
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The flexibility and adaptability to work in an international and/or intercultural context
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An attitude of life-long learning as needed for the future development of his/her career
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Has an active knowledge of the theory and applications of electronics, information and communication technology, from component up to system level.
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Is able to analyse, specify, design, implement, test and evaluate individual electronic devices, components and algorithms, for signal-processing, communication and complex systems.
References, bibliography, and recommended reading
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M. Basseville et I.V. Nikiforov (1993). Detection of Abrupt Changes: Theory and Applications, Prentice-Hall.
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T. Soderstrom and P. Stoica (1989) System Identification. Prentice-Hall International.
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M. Blanke, M. Kinnaert, J. Lunze et M. Staroswiecki (2015) Diagnosis and Fault Tolerant Control, 3rd Edition, Springer.
Other information
Contacts
Service d'Automatique et d'Analyse des Systèmes, Buidling L, Door E, 2nd floor, email : michel.kinnaert@ulb.ac.be
Evaluation
Method(s) of evaluation
- Oral examination
Oral examination
Oral examination
Mark calculation method (including weighting of intermediary marks)
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Report on the practical work: 50%
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Oral examination :50%
Language(s) of evaluation
- english