Course detail

Measuring Techniques for Technical Diagnostics

FEKT-MPA-MTDAcad. year: 2023/2024

The course deals with methods, sensors and instrumentation for measuring noise, vibration, ultrasound and thermovision diagnostics. Students will learn the technique of vibration measurement, noise and speed measurement as well as the basics of spectral analysis, bearings fault diagnosis, balancing and diagnostics of rotating machines. Other topics will be basics of modal analysis, calibration of sensors, use of thermal cameras and ultrasonic diagnostic equipment in industrial applications.

Language of instruction

English

Number of ECTS credits

6

Mode of study

Not applicable.

Entry knowledge

The student who enrolls this course should be able to explain the basics principles of sensors, understand the electronic circuits used in sensing and measurement technology, able to apply basic methods of electrical measurement (voltage, current, resistance, capacitance and inductance) and be able to assemble measuring chain with instruments as oscilloscope, function generator, DAQ cards for measuring of analog and digital signals and be able to prepare and use the LabVIEW developing tool. This course follows to courses in undergraduate studies BMVE and BSNI. Student should have such language skills to understand some educational materials in English.

Rules for evaluation and completion of the course

The test focuses on the verification of knowledge (orientation) information literacy course. He has written a mandatory laboratory (numeric) and non-verbal oral part.
Evaluation laboratory 0 - 40
Written part of exam 0 - 50
Oral part of exam 0 - 10
Definition of controlled education will be established by announcement published by course supervisor every year. Mandatory participation in laboratory exercises, in case of absence the exercise work can be supplemented with alternative exercise in same week or with a self-study of additional literature.

Aims

The goal of the course is to expand knowledge in technical diagnostics. Selected measurement methods and their application in practice will be presented, e.g. vibrodiagnostics, acoustic measurement, ultrasonic defectoscopy, thermovision diagnostics, etc. The aim is to give to students an overview and understanding of advanced diagnostic methods by using special sensors, analyzers and other advanced instruments.
The student will be able to describe the types and methods of technical diagnostics, explain a diagnostic problem, choose the appropriate measurement method, select right sensors and measuring instruments for the specific application. Student will be able to specify parts of measuring chain to realize measurements and evaluate the measured data.

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

TŮMA, Jiri. Vehicle gearbox noise and vibration: measurement, signal analysis, signal processing and noise reduction measures. John Wiley & Sons, 2014. (EN)
RANDALL, Randolph B. Frequency analysis. Brüel & Kjaer, 1987. (EN)
KINSLER, Lawrence E. Fundamentals of acoustics. 4th ed. New York: Wiley, 2000. ISBN 978-0-471-84789-2. (EN)
BRANDT, Anders. Noise and vibration analysis: signal analysis and experimental procedures. Chichester: Wiley, 2011. ISBN 978-0470746448. (EN)
NOVÁK, Martin. Introduction to sensors for electrical and mechanical engineers. Boca Raton: CRC Press, Taylor & Francis Group, [2021]. ISBN 9780367518219. (EN)
JABLONSKI, Adam. Condition monitoring algorithms in MATLAB. Cham, Switzerland: Springer, [2021]. Springer tracts in mechanical engineering. ISBN 978-3-030-62748-5. (EN)
BARSZCZ, Tomasz. Vibration-Based Condition Monitoring of Wind Turbines. Cham, Switzerland: Springer, 2019. Applied Condition Monitoring. ISBN 978-3-030-05969-9. (EN)
Advances in condition monitoring and structural health monitoring: WCCM 2019. Editor Len GELMAN, editor Nadine MARTIN, editor Andrew A. MALCOLM. Singapore: Springer, [2021]. Lecture notes in mechanical engineering. ISBN 978-981-15-9198-3. (EN)

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme MPC-KAM Master's, any year of study, summer semester, compulsory-optional

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

Laboratory exercise

26 hours, compulsory

Teacher / Lecturer