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| B3M38MSE |
Modern Sensors |
| Roles: | PV, PO |
Extent of teaching: | 2P+2L |
| Department: | 13138 |
Language of teaching: | |
| Guarantors: | |
Completion: | Z,ZK |
| Lecturers: | |
Credits: | 6 |
| Tutors: | |
Semester: | Z |
Web page:
https://moodle.fel.cvut.cz/courses/B3M38MSE
Anotation:
An overview of sensors of physical quantities used in industry and in research and methods of signal processing.
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.
Content:
Physical principles of sensors, basic parameters. Production technologies, materials and measurement. Modelling and design of sensors. Methods for reducing uncertainty. Noise and its measurement. Calibration and testing of sensors. Smart sensors. Sensor data processing: correlation, PSD, filtration and data fusion, tomography. Precise magnetic sensors. Sensors of electric current. Imaging in medicine. Medical diagnostics sensors. Applications in automotive and aerospace technology. Sensors for virual reality. Sensors for intelligent buildings and industry. Applications in geophysics and archaeology.
Course outlines:
1 Physical principles of sensors, basic parameters.
| 2. | | Production technologies, materials and measurement. Modelling and design of sensors. |
| 3. | | Methods for reducing uncertainty. Noise and its measurement. |
| 4. | | Calibration and testing of sensors. Smart sensors. |
| 5. | | Sensor data processing: correlation, PSD, filtration and data fusion, tomography. |
| 6. | | Precise magnetic sensors. |
| 7. | | Sensors of electric current. |
| 8. | | Imaging in medicine. Medical diagnostics sensors. |
| 10. | | Applications in automotive and aerospace technology. |
| 11. | | Safety applications. Sensors for virual reality. |
| 12. | | Sensors for intelligent buildings and industry. |
| 13. | | Applications in geophysics and archaeology. |
Exercises outline:
Labs are practically oriented. Students gain experience in building advanced measurement circuits for major types of sensors, determine the characteristics and calculate uncertainty of measurement. They also learn handling complicated measurement instruments.
| 1. | | Pressure, flowrate of gases. |
| 2. | | Flowrate of liquids. |
| 3. | | Accelerometer |
| 4. | | Correlation measurement of speed. |
| 5. | | Magnetic sensors for automotive revolution speed sensors. |
| 6. | | Senzory humidity measurement |
| 7. | | Semicoductor temperature sensors |
| 8. | | Contactless temperature sensing - pyrometry |
| 9. | | Chemical sensors |
| 10. | | AMR magnetic field sensor |
| 11. | | FEM modelling of sensor |
| 12. | | Position sensor. Calibration of ultrasound sensor with digital oscilloscope |
| 13. | | Modulation and synchronous detection (mechanical strain measurement). |
Literature:
| [1] | | Ripka, P., Tipek, A.(ed.): Modern Sensors Handbook , ISTE 2007 (brožovaná verze ve 20 ks v knihovně ČVUT: Master book on sensors editors P. Ripka and A. Tipek,ČVUT/BEN,2003). |
| [2] | | 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 17.5.2025 17:53:10, semester: L/2026-7, Z/2024-5, Z,L/2025-6, Z/2026-7, L/2024-5, Send comments about the content to the Administrators of the Academic Programs |
Proposal and Realization: I. Halaška (K336), J. Novák (K336) |