| Subject name (in Hungarian, in English) | Measurement Technique of Processes | |||
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Measurement technique of processes
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| Neptun code | BMEGEVGBG03 | |||
| Type | study unit with contact hours | |||
| Course types and number of hours (weekly / semester) | course type: | lecture (theory) | exercise | laboratory excercise |
| number of hours (weekly): | 1 | 0 | 1 | |
| nature (connected / stand-alone): | - | - | coupled | |
| Type of assessments (quality evaluation) | mid-term grade | |||
| ECTS | 3 | |||
| Subject coordinator | name: | Dr. Csizmadia Péter | ||
| post: | adjunct | |||
| contact: | pcsizmadia@hds.bme.hu | |||
| Host organization | Department of Hydrodynamic Systems | |||
| http://www.hds.bme.hu/ | ||||
| Course homepage | http://www.hds.bme.hu/oktatas.php?sm=1&xml=BMEGEVGBG03 | |||
| Course language | hungarian, english | |||
| Primary curriculum type | mandatory | |||
| Direct prerequisites | Strong prerequisite | BMEGEVGBX14 | ||
| Weak prerequisite | ||||
| Parallel prerequisite | ||||
| Milestone prerequisite | at least obtained 0 ECTS | |||
| Excluding condition | none | |||
Aim
One of the aims of the course is to introduce the students to the basic measurement planning methods required for the subject, ie to properly select the parameters to be measured that are necessary to perform the given measurement task. Furthermore, by mastering the subject, the student can learn about the process of instrument selection, methods and influencing effects. Here, the goal is to keep the dynamic quantity to be measured within a given margin of error (including dynamic calibration methods). After learning about measurement design and instrument selection, the student acquires the basics of evaluating the measured signal: correlations; static, dynamic non-periodic and dynamic periodic (Fourier transform) characteristics of the signal.
Learning outcomes
Competences that can be acquired by completing the course
Knowledge
Knows the essential elements and concepts of measurement design. Describes the method for calculating measurement uncertainty for direct and indirect measurements. He is aware of the concept and process of quantization. It distinguishes between the concept and method of correlation, autocorrelation, cross-correlation. It distinguishes between continuous periodic and non-periodic approximations. It distinguishes between discrete periodic and non-periodic approximations. He is aware of interpolation methods and their application. Knows the response of a first-order measuring system to unit jump and harmonic input. Knows the response of the second order measuring system to unit jump and harmonic input. He has a comprehensive knowledge of methods and procedures for solving measurement tasks and problems.
Ability
Interprets elements of measurement design such as: variables and parameters; indirect quantity; dependent / independent variable; regulated / external parameter; external variable. Calculates random and regular error, error propagation for direct and indirect variables. It is able to estimate the magnitude of the quantization error for a given measurement system. Calculates the values of correlation, autocorrelation, and cross-correlation for real physical signals. Explores your IT skills to approximate measured signals in a continuous or discrete way. Able to select basic sampling parameters for planned measurement processes. Apply learned interpolation methods to measured signals. Determines the time constant and ramp-up time of the system from the response of the first-order system to the jump function. Determines the rise time, settling time, attenuated eigenfrequency, attenuation factor, and unattenuated eigenfrequency of the secondary system based on measurement results. He expresses his thoughts in an orderly form orally and in writing in connection with measurement tasks and problems.
Attitude
Continuously checks his/her work and results. Strives for getting to know and to routinely use the toolkit to solve fluid engineering problems. Open to use IT devices. Strives to implement the principles of energy efficiency and environmental awareness. Improves his abilities to solve engineering tasks precisely and error-free. Publishes his/her results according to the professional rules. Expresses his/her views and opinions without insulting others.
Independence and responsibility
During broadening his knowledge he/she cooperates with the teaching staff. Readily accepts the reasonable professional and other criticism. In certain situations, as a member of a team, he/she cooperates with his/her fellow students in solving a task. In possession of his/her knowledge, on the basis of analysis he/she makes a well-founded, responsible decision. He/she thinks over the tasks and the problems and solves them independently based on the given sources . He/she is committed to the methods and princples of the systemich thinking and problem-solving.
Teaching methodology
The material of the lectures serves primarily to understand the curriculum. This is complemented by the processing of independently measured data from laboratory practices and the writing of a report to be submitted about it, which requires independent and organized work on the part of students. The use of IT tools and techniques is essential for this. We provide consultation opportunities for the solution, which requires proper communication both in writing and orally.
Support materials
Textbook
Ottó Lukács: Mathematical Statistics (Bolyai Books), Műszaki Könyvkiadó, Budapest, 2002, ISBN 963 16 3036 6 in Hungarian
Gábor Halász - Antal Huba: Technical Measurements, University of Technology Publishing House, 2003, ISBN 0000000000 in Hungarian
Julius S. Bendat, Allan G. Piersol: Engineering Applications of Correlation and Spectral Analysis, 2nd Edition, Wiley, 1993, ISBN: 978-0-471-57055-4
Lecture notes
Online material
Validity of the course description
| Start of validity: | 2021. January 21. |
| End of validity: | 2028. July 15. |
General rules
The mid-term evaluation of the formulated learning outcomes is performed as follows: a mid-term summary written study performance measurement, which is a complex, written way of evaluating the competence-type competence elements of the subject and knowledge in the form of an indoor dissertation ("big test"- 30 points); and 1 partial performance evaluation (measurement report - 10 points); and on the basis of a pre-laboratory level tests ("mini laboratory tests" - 4x 5 p). In order to obtain the mid-term grade, a minimum of 50% must be achieved separately from both the theoretical part ("big test") and the laboratory part (report + "mini tests").
Assessment methods
Detailed description of mid-term assessments
| Mid-term assessment No. 1 | ||
| Type: | summative assessment | |
| Number: | 1 | |
| Purpose, description: | A complex, written way of evaluating the competence-type competence elements of the subject and knowledge in the form of a test ("big test"), which may consist of A) theoretical questions to be explained, which are lexical knowledge; B) essay questions that have the ability to synthesize. These take place within the framework of the lecture of the subject (roughly in the 8th week of education); it is necessary to achieve a sufficient minimum score in the enclosure to complete the object; the part of the curriculum on which the assessment is based is determined by the person in charge of the subject. | |
| Mid-term assessment No. 2 | ||
| Type: | formative assessment, simple | |
| Number: | 1 | |
| Purpose, description: | It is a complex way of evaluating the knowledge, ability, attitude, as well as independence and responsibility type competence elements of the subject, the form of which is the independently prepared measurement report. Which content, requirements and method of evaluation are determined by the person in charge in agreement with the head of the laboratory practice. Electronic submission is a condition for completing the subject; the deadline for the filing is 2 weeks from the measurement, at the latest at the end of semester. 50% of the score of the report and the 4 "mini tests" tied to the measurement must be achieved together. | |
| Mid-term assessment No. 3 | ||
| Type: | diagnostic assessment | |
| Number: | 1 | |
| Purpose, description: | A simplified way of evaluating the knowledge, ability, attitude, as well as independence and responsibility type competence elements of the subject, the form of which is a "mini test" to be written before the measurement. The related curriculum consists of what has been said in the lectures and in the pre-issued measurement descriptions. Such a "mini test" is associated with each of the 4 labs. 50% of the score of the report and the 4 measurement-bound "mini tests" must be reached together. | |
Detailed description of assessments performed during the examination period
The subject does not include assessment during the examination period.
The weight of mid-term assessments in signing or in final grading
| ID | Proportion |
|---|---|
| Mid-term assessment No. 1 | 50 % |
| Mid-term assessment No. 2 | 17 % |
| Mid-term assessment No. 3 | 33 % |
The condition for signing is that the score obtained in the mid-year assessments is at least 50%.
The weight of partial exams in grade
There is no exam belongs to the subject.
Determination of the grade
| Grade | ECTS | The grade expressed in percents |
|---|---|---|
| very good (5) | Excellent [A] | above 90 % |
| very good (5) | Very Good [B] | 85 % - 90 % |
| good (4) | Good [C] | 72 % - 85 % |
| satisfactory (3) | Satisfactory [D] | 65 % - 72 % |
| sufficient (2) | Pass [E] | 50 % - 65 % |
| insufficient (1) | Fail [F] | below 50 % |
The lower limit specified for each grade already belongs to that grade.
Attendance and participation requirements
The lack of the value means that there is no attendance requirement.
At least 70% of laboratory practices (rounded down) must be actively attended.
Special rules for improving, retaken and replacement
The special rules for improving, retaken and replacement shall be interpreted and applied in conjunction with the general rules of the CoS (TVSZ).
| Need mid-term assessment to invidually complete? | ||
| yes | ||
| Can the submitted and accepted partial performance assessments be resubmitted until the end of the replacement period in order to achieve better results? | ||
| yes | ||
| The way of retaking or improving a summary assessment for the first time: | ||
| each summative assessment can be retaken or improved | ||
| Is the retaking-improving of a summary assessment allowed, and if so, than which form: | ||
| retake or grade-improving exam not possible | ||
| Taking into account the previous result in case of improvement, retaken-improvement: | ||
| new result overrides previous result | ||
| The way of retaking or improving a partial assessment for the first time: | ||
| partial assesment(s) in this group can be improved or repeated once up to the end of the repeat period | ||
| Completion of unfinished laboratory exercises: | ||
| missed laboratory practices must be performed in the repeat period | ||
| Repetition of laboratory exercises that performed incorrectly (eg.: mistake in documentation) | ||
| incorrectly performed laboratory practice (e.g. Incomplete/incorrect report) can be corrected upon improved re-submission | ||
Study work required to complete the course
| Activity | hours / semester |
|---|---|
| participation in contact classes | 28 |
| preparation for laboratory practices | 14 |
| preparation for summary assessments | 16 |
| elaboration of a partial assessment task | 4 |
| additional time required to complete the subject | 28 |
| altogether | 90 |
Validity of subject requirements
| Start of validity: | 2021. February 1. |
| End of validity: | 2028. July 15. |
Primary course
The primary (main) course of the subject in which it is advertised and to which the competencies are related:
Mechanical engineering
Link to the purpose and (special) compensations of the Regulation KKK
This course aims to improve the following competencies defined in the Regulation KKK:
Knowledge
- Student has the knowledge and understanding of the terminology, main specifications and aspects of other fields related to the technical field and of particular importance for the practice of the profession (in particular logistics, management, environmental protection, quality assurance, information technology, legal, economic, health and safety, fire protection, security).
- Student has the broad theoretical and practical knowledge, methodological and practical skills for the design, manufacture, modelling, operation and management of complex engineering systems and processes.
- Student has the knowledge of metrology and measurement theory in the field of mechanical engineering.
Ability
- Student has the ability to apply the general and specific mathematical, scientific and social principles, rules, relationships and procedures acquired in solving problems in the field of engineering.
- Student has the ability to process, organise, analyse and draw conclusions from information gathered during the operation of engineering systems and processes.
- Student is skilled in quality assurance, metrology and process control of engineering systems, technologies and processes.
Attitude
- Student seeks to contribute to the development of new methods and tools in the field of engineering. A deepened sense of vocation.
- Student strives to carry out their work in a complex approach based on a systems and process-oriented thinking.
- Student is involved in research and development projects in mechanical engineering, mobilising student's theoretical and practical knowledge and skills to achieve this goal, in collaboration with members of the development team.
Independence and responsibility
- Student takes responsibility for the sub-processes under student's management.
- Student acts independently and proactively in solving professional problems.
- Student shares her acquired knowledge and experience through formal, non-formal and informal information transfer with those in her field.
Prerequisites for completing the course
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Knowledge type competencies
(a set of prior knowledge, the existence of which is not obligatory, but greatly facilitates the successful completion of the subject) |
none |
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Ability type competencies
(a set of prior abilities and skills, the existence of which is not obligatory, but greatly contributes to the successful completion of the subject) |
none |