Sensors and Data Acquisition

Higher education teachers: Beguš Samo
Credits: 5
Semester: summer
Subject code: 64629



Subject description

Prerequisits:

  • Enrolment in the year of the course.
  • Basic knowledge of physics, mathematics and electrical engineering (Mathematics I, Mechanics and heat (Physic I), Fundamentals of Electrical Engineering I).

Content (Syllabus outline):

Sensors and conversion of physical quantities. Sensors and measurement of physical quantities. Technology and sensor design: mechanical sensors, chemical sensors, thermal sensors, optical sensors, magnetic sensors, biosensors, acoustic sensors, sensors in environment monitoring. Sensors and nanotechnology. Actuators.

Sensors in automation, robotics, diagnostics, control, production and trade, identification, energy distribution, medicine, security, protection. Static and dynamic characteristics of sensors, sensor models. Sensors and signals, sensors and data acquisition and signal processing. Representativeness of the obtained signals. Sensors and conversion of physical quantities in the first and higher orders. The characteristic properties of the sensors and correction methods. Sensor terminology. Quality assurance in the sensor manufacturing and use. Sensors in automated production processes, communication and standardization, self-diagnostics, microcomputer support. Neural networks for complex processing of measurement signals. Electromagnetic compatibility of sensors.

Objectives and competences:

Basic knowledge of transformation of physical quantities, measurement methods and metrology requirements.

Intended learning outcomes:

  • Knowledge and understanding: Basic knowledge of transformation of physical quantities, the design and use of sensors, sensor features and optimization, sensor interaction with the environment. Sensors as a system in a process and as a part of the measuring system.
  • Individual seminars prepared in the form of an article presented to the audience in the auditorium.
  • Search and selection of sources (books, journals, articles, internet ...), writing an article in accordance with the requirements for publication in a professional journal, presentation before a critical audience with questions and answers.

Learning and teaching methods:

  • Lectures,
  • demonstrations,
  • practical laboratory work.





Study materials

Readings:

  1. J. Fraden, Handbook of modern sensors: physics, designs, and applications, Springer, 2010.
  2. IEEE Sensors Journal, A Publication of the IEEE Sensors Council, ISSN 1530-437X.
  3. H. Baltes, W. Gopel, J. Hesse, Sensors, Vol. 1,2,....., 12, Wiley VCH, 2005.
  4. Larry J. Kricka, Mocrochips, mocroarrays, biochips and nanochips: personal laboratories for the 21st century, Department of Pathology and Laboratory Medicine, University of Pennsylvannia Medical Center.
  5. Bela G. Liptak, Process Measurement and Analysis, Volume 1, Fourth Edition, Instrument Engineers Handbook, CRC Press LLC, Boca Raton, Florida. 2003, ISBN- 0-8493-1083-0 (v.1).
  6. Richard G. Lyon, Understanding Digital Signal Processing, Prentice-Hall, Inc., New Jersey, 2001.



Study in which the course is carried out

  • 2 year - 1st cycle - Applied Electrical Engineering - Electronics
  • 2 year - 1st cycle - Applied Electrical Engineering - Power Engineering Technology and System Automation
  • 2 year - 1st cycle - Applied Electrical Engineering - Telecommunications
  • 2 year - 1st cycle - Applied Electrical Engineering - Quality Engineering
  • 2 year - 1st cycle - Applied Electrical Engineering - Control Engineering