Electronic Measurement Systems
FEKT-MPC-EMSAcad. year: 2021/2022
The course deals with technical resources for measurement automation. Basic solutions for measurement systems’ design assembled from both specialized instrumentation and universal components is explained. Attention is especially focused on designing a system that meets the specified requirements, selection of suitable components and software implementation issues.
Learning outcomes of the course unit
Graduate student knows:
- terminology of measurement systems,
- basic modular systems for automation of measurement and corresponding standards.
Graduate student can:
- perform theoretical design of the measurement system,
- determine sources of uncertainty in the measurement system,
- create simple measurement system including software implementation (NI LabVIEW),
- determine requirements for the robustness of the system and its operation.
Knowledge in the Bachelor's degree level and basic usage of the development environment NI LabVIEW is required.
Recommended optional programme components
Recommended or required reading
ČEJKA, M. Elektronické měřicí systémy. VUT-FEKT, 2002. Elektronická skripta - VUT v Brně (CS)
KOCOUREK, P. Číslicové měřicí systémy. Vydavatelství ČVUT. (CS)
MATYÁŠ, V. Automatizace měření. SNTL Praha, 1998. (CS)
Normy IEEE, ČSN, firemní literatura Keysight, National Instruments. (CS)
Planned learning activities and teaching methods
Teaching methods depend on the type of education which are described in the Article No. 7 of the Study and Examination Regulations of BUT. Teaching methods include lectures and laboratory work.
Assesment methods and criteria linked to learning outcomes
Up to 30 points for laboratory exercises:
- theoretical test - up to 8 points (EEN, EKT, KAM)
- 2 projects (EEN, EKT) or 3 practical tests (KAM) - up to 22 points.
Credit is given for all tests or projects submissions and gain of minimal 10 points from all parts.
Up to 70 points for the final written exam (theoretical part - 30 points, practical problems - 40 points, gain for succesful exam of both parts is 50% of points).
Language of instruction
1. Introduction, course content, design of measurement system, uncertainty of measurement.
2. Qualified estimation of uncertainty sources in measurement systems, examples for measurement devices and for sensors of non-electrical quantities.
3. Theoretical foundations of automation of measurement - typical measurement chain, analog circuits in measurement systems, sampling and its properties, aliasing effects and its limitations, multichannel data acquisition.
4. Communication inside measurement systems (RS-232, RS-422/423, EIA-485, USB, GPIB, Ethernet, PCI and PCIe).
5. Basic components for measurement systems consisting of specialized equipment, SCPI language.
6. Software tools for measurement systems and virtual instrumentation, NI USB hardware - specifications and DAQmx drivers.
7. Reliability and EMC.
8. Modular measurement systems - history, PXI and cDAQ.
9. NI cRIO system - characteristics, hardware model and data communication types, digital lines in measurement systems, signal switching - characteristics and construction.
10. Advanced programming and algorithmization in cRIO systems.
11. Metrology and standards for automated systems (CSN EN 60359), aplication od automated measurement systems in testing.
The course goal is to familiarize students with the process of design and implementation of measurement systems. Student will learn to work with common measurement systems and understand the problems of measurement automation. Student is able to choose an appropriate concept of measurement system, assemble it and determine its measurement uncertainty. He knows the way of description of the general properties and structure of the measurement system.
Specification of controlled education, way of implementation and compensation for absences
Participation in laboratory exercises is not mandatory excluding tests. Assessment is based on submission of projects or tests in the selected exercises during the semester.
Classification of course in study plans