Students are introduced to the specifics of process signals and measurements in the industrial environment, techniques of conversion of process variables into electrical signals to gain better understanding of measurement procedures as part of automated processes. Present to students the possibilities of selecting a process measurement instrument regarding the requirements of accuracy, reliability and cost, maintenance and calibration requirements. Present software applications for collecting, processing and displaying process measurement data.

Conditions for enrollment

Requirements met for enrolling in the study programme

Course description

Special conditions for technical systems in industrial plants including energy and technological facilities. Signalling and measurement. Behaviour of measurement signals. Behaviour of measuring devices. Standard measurement signals, HART protocol. Sensors: active and passive sensors, tensors. Electrodynamic, piezoelectric, thermodynamic, photoelectric, magnetic and chemical sensors. Measurements supported by a computer. A/D converters, measuring hardware and software in the industry, and PLC and SCADA display as measurement tools. Collecting, processing, and displaying measurement data using the LabVIEW software package. Process instrumentation: measuring methods and sensors for measuring (pressure, levels, flow, temperature and humidity). Process analytics: measuring procedures and systems for gas and liquid analysis. Measurement of other process variables. Complex measuring systems in automated process plants. Local and telemetric measurement systems in the industry. Increasing reliability (high tolerance) and safety in industrial measurements. Measuring equipment in explosive zones. Selection of appropriate equipment in industrial measurements.

Student requirements

Defined by the Student evaluation criteria of the Faculty of Electrical Engineering, Computer Science and Information Technology Osijek and paragraph 1.9

Monitoring of students

Defined by the Student evaluation criteria of the Faculty of Electrical Engineering, Computer Science and Information Technology Osijek and paragraph 1.9

Obligatory literature

1. 1 Valter, Z. Procesna mjerenja Osijek: Elektrotehnički fakultet, 2008. ISBN 978-953-6032-59-4

2. 2 A. Šantić Elektronička instrumentacija Školska knjiga, 1993.

3. 3 MORRIS A.S; LANGARI R. Measurement and Instrumentation-Theory and Application Elsevier, Academic Press, 2012, ISBN 978-0-12-381960-4

Pretraži literaturu na:

1. 1 D. Vujević, B. Ferković Osnove elektrotehničkih mjerenja I II Školska knjiga, Zagreb, 1996.

2. 2 R. Malarić Instrumentation and measurement in electrical engineering BrownWalker Press 2011.

3. 3 V. Bego Mjerenja u elektrotehnici Školska knjiga, Zagreb, 1990.

4. 4 Thomas Stauss Flow Handbook, 3rd Edition Endress+Hauser Flowtech AG, Reinach, 2006.

5. 5 Donald R. Gillum Industrial Pressure, Level and Density Measurement 2nd edition, ISA – Instrumentation Systems and Automation Society, 2009.

6. 6 Omega Transactions in Measurement and Control: Volume 2 Data Acquisition Putman Publishing Company and OMEGA Press LLC, 1998.

7. 7 Omega Transactions in Measurement and Control: Volume 3 Pressure Putman Publishing Company and OMEGA Press LLC, 1998.

8. 8 Omega Transactions in Measurement and Control: Volume 4 Flow and Level Putman Publishing Company and OMEGA Press LLC, 1998.

Conducting university questionnaires on teachers (student-teacher relationship, transparency of assessment criteria, motivation for teaching, teaching clarity, etc.). Conducting Faculty surveys on courses (upon passing the exam, student self-assessment of the adopted learning outcomes and student workload in relation to the number of ECTS credits allocated to activities and courses as a whole).

Overview of course assesment

1. identify the specificities of measurements in the industry

2. define measurement methods and devices regarding specifications of an industry plant

3. classify the measuring sensors by type and their performance

4. name the methods for measurement signals processing and their transformation into digital format, and technologies for transmission of measurement signals

5. identify interference that occur in the industrial environment and define protection measures

6. select the type and characteristics of measuring sensors and measuring devices for a specific process measurement task

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