| Statuss(Aktīvs) | Izdruka | Arhīvs(0) | Studiju plāns Vecais plāns | Kursu katalogs | Vēsture |
| Course title | Computer-aided Measuring Systems |
| Course code | MašZ5025 |
| Credit points (ECTS) | 6 |
| Total Hours in Course | 162 |
| Number of hours for lectures | 24 |
| Number of hours for seminars and practical classes | 12 |
| Number of hours for laboratory classes | 12 |
| Independent study hours | 114 |
| Date of course confirmation | 29/11/2011 |
| Responsible Unit | Institute of Mechanics and Design |
| Course developers | |
| Dr. sc. ing., prof. Aivars Kaķītis |
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| There is no prerequisite knowledge required for this course | |
| Course abstract | |
| The aim of the study course is to give students knowledge in experimental methods, measuring technique, data acquisition and computer based measuring systems. Students obtain theoretical principles of Performance characteristics of instruments, sensors, signal conditioning, virtual measurements and data evaluation software and programming tools. | |
| Learning outcomes and their assessment | |
| Knowledge - students acquire deep theoretical and practical knowledge on measuring non-electrical quantities with electrical measurement techniques and principles of virtual instruments. Students acquire knowledge how to use data loggers and LabView software for data acquisition, data processing and regression analysis of data. The knowledge gained as a basis for further research and development of creative thinking. Knowledge is evaluated in tests and laboratory works.
Skills - the ability to creatively use their knowledge in experiments planning and selecting and designing appropriate measuring systems. The ability to perform experimental data evaluation, error measurement and the defining of regression equations. Assessment - execution of laboratory work. Competence - students are capable of independent critical analysis of use of various sensors for measuring of a dynamic process, and evaluation of a measuring system with virtual instruments in the different experiments. Master students are able to base their decisions, and integrate knowledge acquired of other areas and study courses to plan necessary experiments and data treatment of their research work. Competences is evaluated in tests and laboratory works. |
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| Course Content(Calendar) | |
| 1. Measuring systems and sensors, their characteristics - 2h.
2. Measurement errors and their reduction possibilities - 2h. 3. Electrical measurement methods of non-electrical quantities - 2h. 4. Physical principles of sensor operation, parameter calculations - 4h (Practical work). 5. Research of displacement measuring sensors - 2h (Laboratory work). 6. Signals and their types. Digital processing of analog signals - 2h. 7. Test on introduction to measurement systems and signal processing. 8. Signal amplifiers and conditioners - 2h. 9. Research and calculation of basic circuit diagrams of operational amplifiers - 4h (Practical work). 10. Study of operational amplifier configurations - 2h (Laboratory work). 11. Calculation of input circuits, DC Bridge circuits - 4h (Practical work). 12. Signal transmission types and sensor connections - 2h. 13. Test on input circuits and signal transmission. 14. Measurement of mechanical stresses and strains - 2h. 15. Force sensor design and calibration - 2h (Laboratory work). 16. Physical principles of pressure measurement. Flow measurement - 4h. 17. Motion and Vibration measurement - 2h. 18. Evaluation of dynamic measurement errors - 2h (Practical work). 19. Temperature measurement methods and sensors - 2h. 20. Research of temperature measuring equipment and calibration of sensors - 4h (Laboratory work). 21. Measurement of relative humidity of air - 2h. 22. Test on the principles of measuring physical parameters. 23. LabView Tools and use of them. Connection and programming of Virtual instruments - 4h. 24. Design of a virtual measuring instrument using computer program LabView - 4h (Laboratory work). 25. Data loging devices, their selection and use - 2h. 26. Research and setting of data logger operation - 2h (Laboratory work). 27. Experimental data processing - 2h. 28. Experimental data processing and measurement error evaluation - 2h (Practical work). 29. Presentation of research results. Preparation and design of visual materials - 2h. |
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| Requirements for awarding credit points | |
| The course ends with an exam. In order to pass the exam, must be defended laboratory works and completed homework. | |
| Description of the organization and tasks of students’ independent work | |
| During the independent work the students acquire in-depth the topics discussed in the lectures, carry out the necessary calculations for practical tasks and laboratory work.
1. Independent work: to process the data of the given experiment and to evaluate the errors. 2. Independent work: to develop a plan of the given experiment, to select the necessary measuring equipment and sensors and to evaluate the systematic error of measurement. |
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| Criteria for Evaluating Learning Outcomes | |
| The student successfully defends the laboratory works, if he has made the necessary calculations and is able to answer any control question for the job. | |
| Compulsory reading | |
| 1. Kaķītis A., Galiņš A. Leščevics P. Sensori un mērīšanas sistēmas. Jelgava: LLU, 2008. 396 lpp.
2. Morris A. S. Measurement and Instrumentation Principles. Butterworth-Heinemann, 2001. 475 p. 3. Kaķītis A. Neelektrisku lielumu elektriskā mērīšana. Mācību līdzeklis. Jelgava: LLU, 2008. 67 lpp. |
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| Further reading | |
| 1. Holman J. P. Experimental methods for engineers. 6th edition. , McGraw-Hill, USA, 1996. 616 p. 2. Lang W. Sensors and Measurement Systems. Denmark: River Publishers, 2019. 226 p. |
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| Periodicals and other sources | |
| Lekcijas un e-studiju materiāli | |
| Notes | |
| The study course is included in the Compulsory part of the Master’s study program “Agricultural Engineering”. 2nd study year 3rd semester. | |