Higher education teachers: Agrež Dušan, Drnovšek Janko
Collaborators: Agrež Dušan, Begeš Gaber, Geršak Gregor, Hudoklin Domen
Subject description
Prerequisits:
- Enrolment in the academic year
Content (Syllabus outline):
- Metrology systems (quantities, units and realization, etalons, disemination, traceability, calibration, conformity assessment);
- Fundamental principles of measurement and information content of signals, measurement strategies;
- Measuring accuracy and uncertainty (absolute and relative errors, measurement result, true value, statistic analysis, measurement uncertainty), signal conditioning;
- Measurement of electrical quantities (voltage, current, power, resistance, capacitance, inductance, frequency, phase, power factor, frequency spectrum, ...);
- Application of basic measuring instrumentation (ammeter, voltmeter, wattmeter, oscilosscope, vector analyser);
- Measurement of non-electrical quantities (temperature, humidity, preasure, force, lenght, noise, ...).
Objectives and competences:
- To study the fundamentals of metrology and metrological systems, Si units, connections with other fields of science;
- To introduce the basic principles of measurement of most important quantities in engineering, properties of measurement signals;
- To learn the approaches and methods of measurement of basic electric quantities and caracteristics of measurement transducers;
- To extend the concepts of measurement and comprehension and interpretation of the measurement results;
- To study the meaning of statistic and analysis of measurement uncertainty;
- Besides its theoretical aspects it helps the preparation for laboratory practices.
- To learn the security requirements and protection when using measurement instrumentation in connection with power supply.
Intended learning outcomes:
- To get information and adopt the basics of metrology;
- Understanding of measurements as basic discipline for acquisition and evaluation of information;
- Understanding of methods how to measure basic elektromagnetic quantities;
- To know how to express the mesasurement results with measurement uncertainty;
- To know how to collect, interpret and evaluate measurement results.
Learning and teaching methods:
- Lectures, laboratory tutorials.
Study materials
- Dunn P.F., Measurement and Data Analysis for Engineering and Science, Second Edition, CRC Press, 2010.
- Morris A.S., Measurement and Instrumentation Principles, Third Edition, Oxford: Butterworth-Heinemann, 2010.
- Agrež D. in ostali, Meritve - laboratorijski praktikum (ver. 3), University of Ljubljana, Faculty of Electrical Engineering, 2013.
- G. Geršak in ostali, Metrologija, University of Ljubljana, Faculty of Electrical Engineering, 2012.
- Tumanski S., Principles of Electrical Measurement, Taylor & Francis, CRC Press, 2006.
- Evaluation of measurement data - Guide to the expression of uncertainty in measurement International Joint Committee for Guides in Metrology, 2008 (http://www.bipm.org/en/publications/guides/gum.html).