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Explanatory Notes
Instructions
Web page:
https://moodle.fel.cvut.cz/course/view.php?id=3934
Anotation:
Overview of basic and advanced knowledge of sensors and extension by knowledge needed for design and development of sensor systems.
The content reflects perspective principles of sensors as well as methods of complex sensor signal conditioning and processing. Sensors and sensor systems are shown in specific applications, the design procedures are shown in case studies. Labs in the first part are focused on complex characterization of sensor parameters, in the second part on independent design using FEM modeling and experimental verification.
Study targets:
Students shall gain advanced knowledge of sensors and methods of sensor signal processing. They also gain experience with measuremnet of physical quantities using various types of sensors and with design using FEM.
Content:
Sensor principles and methods of complex sensor signal processing for improvement of measurement quality.
Principles of physical sensors, materials for sensors and their characterization. Methods of uncertainty reduction. Sensors of force, pressure, flowrate and level. Sensors of temperature, sensors of ionizing radiation, sensors of magnetic field, electric current, chemical sensors, and biosensors. Applications in medical and technical diagnostics. Applicaions in automotive and aerospace technology. Safety sensr applications. Applications in geophysics and archaeology.
Course outlines:
| 1. | | Principles of physical sensors: sensors of position and derived quantities |
| 2. | | Principles of physical sensors: sensors of force and pressure, flowrate and level |
| 3. | | Principles of physical sensors: sensors of temperature, sensors of ionizing radiation |
| 4. | | Principles of physical sensors: sensors of magnetic field, electrical current |
| 5. | | Principles of physical sensors: chemical sensors and biosensors |
| 6. | | Materials for sensors and their characterization. Methods of uncertainty reduction. Examples of methods for testing. Smart sensors. |
| 7. | | Sensor signal processing: correlation, PSD, filtration and data fusion, tomography. |
| 8. | | Sensor networks and sensor arrays |
| 9. | | Imaging methods in medical and technical diagnostics. |
| 10. | | Applications in automotive and aerospace. |
| 11. | | Safety applications. Sensors for virtual reality. |
| 12. | | Sensors for inteligent buildings and industry. |
| 13. | | Applications in geophysics and archaeology. |
Exercises outline:
| 1. | | Mass airflow sensor |
| 2. | | Flowmeters of liquids and gases |
| 3. | | Accelerometers |
| 4. | | Correlation |
| 5. | | Rotation speed sensors |
| 6. | | Humidity sensors |
| 7. | | Thermistor calibration |
| 8. | | Contactless temperature measurement - pyrometry |
| 9. | | Chemical sensors |
| 10. | | Electronic compass - AMR sensor |
| 11. | | FEM modelling of sensor (eddy current sensor) |
| 12. | | Contactless position sensors |
| 13. | | Dynamic stress measurement |
Literature:
| 1. | | Ripka, P., Ďaďo, S., Kreidl, M., Novák, J.: Senzory (opr. dotisk). Skripta ČVUT FEL, Praha 2007 |
| 2. | | Ripka, P., Tipek, A.(ed.): Modern Sensors Handbook. ISTE 2007, ISBN 978-1-905209-66-8 |
| 3. | | Fraden J.: Handbook of Modern Sensors. 5th ed. Springer 2016, ISBN 978-3-319-19302-1 |
available online (from ČVUT IP address space) on
http://search.ebscohost.com/login.aspx?direct=true&;scope=site&db=nlebk&AN=1081958
Requirements:
no prerequisities
Knowlege of physics and of electrical measurements is welcome
Keywords:
sensors, signal conditioning, signal processing
Subject is included into these academic programs:
| Page updated 19.4.2024 17:54:04, semester: Z,L/2023-4, Z/2024-5, Send comments about the content to the Administrators of the Academic Programs |
Proposal and Realization: I. Halaška (K336), J. Novák (K336) |