22MDMSPI - Digital Measurements and Signals in Process Engineering

Course specification
Course title		Digital Measurements and Signals in Process Engineering
Acronym		22MDMSPI
Study programme
Module
Lecturer (for classes)		prof. dr Miloš Petrović
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
ESPB		4.0	Status
Condition		None	Облик условљености
The goal		The goal of the advanced course in digital measurements and signals in process engineering is for students to achieve basic knowledge of digital measurement systems which are used for acquisition, analysis and data processing, as well as to achieve an understanding of how different parts of measurement systems can be used to measure non-electrical quantities through electrical means.
The outcome		After completing and passing the exam, students will be able to perform statistical data processing through the use of software tools, to apply different signal analysis and noise reduction techniques, as well as be able to choose and apply appropriate sensors and measurement systems in process engineering.
Contents
Contents of lectures		Statistical analysis of data acquired through measurements. Measuring non-electrical quantities through electrical means - sensors. Systems for data acquistion - A/D and D/A convertors. Dynamic measurements. Signal spectrum and discrete Fourier transform. Digital signal processing and noise filtering techniques. Computer systems for measurements and process control (SCADA).
Contents of exercises		Practical lessons are carried out in the computer lab through use of different software packages (Python, LabView, Origin, etc.). The analysis of data acquired through measurements. Signal spectrum analysis. Random noise and noise filtration. Measuring non-electrical quantities through electric means. Measurements and process control in real-time.
Literature
Material from the lectures and practical exercises „Electrial measurements, signal processing, and displays“, J. G. Webster, CRC Press, 2004 „Handbook of Modern Sensors", J. Fraden, Springer, 2010 „'Digital Signal Processing for Measurement Systems", G. D'Antona, A. Ferrero, Springer, 2006 "Uvod u digitalnu obradu signala", Lj. Milić, Z. Dobrosavljević, J. Ćertić, Akademska misao, 2015 (Original title)
Number of hours per week during the semester/trimester/year
Lectures	Exercises	OTC	Study and Research	Other classes
2		2
Methods of teaching		Lectures, practical classes in the computer laboratory, consultations
Knowledge score (maximum points 100)
Pre obligations		Points	Final exam	Points
Activites during lectures			Test paper	25
Practical lessons			Oral examination
Projects
Colloquia
Seminars		20