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Lecturer(s)
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Vágner Jakub, Ing. Ph.D.
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Kohout Martin, Ing. Ph.D.
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Course content
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1. Metrology, measurement errors and uncertainties. 2. Digital signal processing (digitisation, filtering, converters), sensors (general requirements, properties). 3. Signal evaluation in time and frequency domain. 4. Noise measurement (specifics of noise perception, measurement technique and measurement processing). 5. Measurement of mechanical stress and force (principle and characteristics of sensors, bridge circuits). 6. Geometry measurements (methods, principle and properties of sensors). 7. Measurement of temperature and speed (methods, principle and properties of sensors). 8. Acceleration measurement (methods, principle and properties of sensors). 9. Vibrodiagnostics (fundamentals and theory of diagnosable machine parts). 10. Vibrodiagnostics (diagnosis of typical faults). 11. Acoustic diagnostics (point temperature measurement, field analysis, diagnosis of typical faults). 12. Diagnostic systems for machinery and transport means.
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Demonstration
- Home preparation for classes
- 16 hours per semester
- Contact teaching
- 52 hours per semester
- Preparation for a credit (assessment)
- 10 hours per semester
- Preparation for an exam
- 30 hours per semester
- Term paper
- 12 hours per semester
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Learning outcomes
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The aim of the course is to introduce the basic principles of measurement, experimental methods (design of experiment, measurement chain, principles of sensors, signal evaluation) and methods of diagnostics of transport equipment.
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Prerequisites
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Students are expected to have knowledge of related topics (especially mechanics, mathematical statistics and probability, strength and elasticity, mechanism and mechanical components).
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Assessment methods and criteria
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Oral examination, Home assignment evaluation
The course ends with an exam where students must demonstrate their knowledge of the subject matter and their ability to apply it.
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Recommended literature
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Fraden, Jacob. Handbook of modern sensors . Cham ;: Springer, 2016. ISBN 978-3-319-19302-1.
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Thompson, David J. Railway noise and vibration : mechanisms, modelling and means of control. Oxford: Elsevier, 2009. ISBN 978-0-08-045147-3.
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