CTU FEE Moodle
Modern Sensors and Signal Processing
B232 - Summer 23/24
Modern Sensors and Signal Processing - A3M38MSZ
| Credits | 6 |
| Semesters | Summer |
| Completion | Assessment + Examination |
| Language of teaching | Czech |
| Extent of teaching | 2P+2L |
Annotation
The course is aimed to broaden the sensors basics by topics necessary for design of sensors and sensor systems. Prospective sensor types are covered as well as methods of the processing of the sensor signal. Sensors and sensor systems are shown in applications and by case design studies. The labs are concentrated to the complex measurement of the sensor parameters and to FEM modeling and its experimental verification. Optical sensors and their applications are covered in detail by following course "Videometry".
Study targets
No data.
Course outlines
1. Sensor principles, basic parameters, MEMS.
2. Materials for sensors and their measurement.
3. Modelling and design of sensors.
4. Uncertainties and their propagation, methods for the suppression of uncertainties. Noise measurement.
5. Identification, calibration and testing of sensors. Standards.
6. Correction of static and dynamic errors. Intelligent sensors.
7. Sensor signal processing: correlation methods, PSD, filtration and data fusion, homographic methods.
8. Sensor networks and sensor fields. Power and excitation for sensors.
9. EMC, shielding. Sensors for medical diagnostics.
10. Sensor applications in automotive, aerospace and space technology.
11. Security applications of sensors. Sensors for virtual and augmented reality.
12. Sensors for intelligent buildings and industry.
13. Sensors for geophysics and archeology.
14. Technology for sensor production.
2. Materials for sensors and their measurement.
3. Modelling and design of sensors.
4. Uncertainties and their propagation, methods for the suppression of uncertainties. Noise measurement.
5. Identification, calibration and testing of sensors. Standards.
6. Correction of static and dynamic errors. Intelligent sensors.
7. Sensor signal processing: correlation methods, PSD, filtration and data fusion, homographic methods.
8. Sensor networks and sensor fields. Power and excitation for sensors.
9. EMC, shielding. Sensors for medical diagnostics.
10. Sensor applications in automotive, aerospace and space technology.
11. Security applications of sensors. Sensors for virtual and augmented reality.
12. Sensors for intelligent buildings and industry.
13. Sensors for geophysics and archeology.
14. Technology for sensor production.
Exercises outlines
1. Introduction
2. Modulation and synchronous detection (vibration measurement)
3. Plug-in cards for DC measurements (strain gauges and torque measurement)
4. Position measurement, calibration of ultrasound distance meter by digital scope
5. Plug-in cards and virtual instrumentation for dynamic measurement (LabView)
6. Correlation measurement: FFT and LabWindows
7. Datalogger (accelerometer)
8. Flow measurement
9. Semiconductor temperature sensors
10. Measuring amplifier versus measuring system (resistance thermometers)
11. HART and analog processor (processing of the signal form thermocouple)
12. Contactless temperature measurement
13. Sensors for gas analysis and for humidity measurement
14. Assessment
2. Modulation and synchronous detection (vibration measurement)
3. Plug-in cards for DC measurements (strain gauges and torque measurement)
4. Position measurement, calibration of ultrasound distance meter by digital scope
5. Plug-in cards and virtual instrumentation for dynamic measurement (LabView)
6. Correlation measurement: FFT and LabWindows
7. Datalogger (accelerometer)
8. Flow measurement
9. Semiconductor temperature sensors
10. Measuring amplifier versus measuring system (resistance thermometers)
11. HART and analog processor (processing of the signal form thermocouple)
12. Contactless temperature measurement
13. Sensors for gas analysis and for humidity measurement
14. Assessment
Literature
[1] Ripka, P., Tipek, A.(ed.): Moden Sensors Handbook. ISTE 2007, ISBN 978-1-905209-66-8
[2] Fraden J.: Handbook of Modern Sensors. Springer 2004
[3] Ripka P. (ed.): Magnetic Sensors and Magnetometers. Artech 2001
[2] Fraden J.: Handbook of Modern Sensors. Springer 2004
[3] Ripka P. (ed.): Magnetic Sensors and Magnetometers. Artech 2001
Requirements
Basic courses of Physics, Electric circuits, Mathematics and Sensors and instrumentation.