Course detail

Measuring Techniques for Technical Diagnostics

FEKT-MPC-MTDAcad. year: 2021/2022

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.

Learning outcomes of the course unit

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.


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.


Not applicable.

Recommended optional programme components

Not applicable.

Recommended or required reading

KREIDL, Marcel a Radislav ŠMÍD. Technická diagnostika: senzory, metody, analýza signálu. Praha: BEN - technická literatura, 2006. Senzory neelektrických veličin. ISBN 80-7300-158-6. (CS)
TŮMA, Jiří. Zpracování signálů získaných z mechanických systémů užitím FFT. Praha: Sdělovací technika, 1997. ISBN 80-901936-1-7. (CS)
TŮMA, Jiri. Vehicle gearbox noise and vibration: measurement, signal analysis, signal processing and noise reduction measures. John Wiley & Sons, 2014. (EN)
ŠKVOR, Zd. Akustika a elektroakustika. Praha: Academia, 2001. ISBN 80-200-0464-0. (CS)
RANDALL, Randolph B. Frequency analysis. Brüel & Kjaer, 1987. (EN)
HELEBRANT, František a Jiří ZIEGLER. Technická diagnostika a spolehlivost. Ostrava: VŠB - Technická univerzita, 2004. ISBN 80-248-0650-9. (CS)
BILOŠOVÁ, Alena. Týmová cvičení předmětu Experimentální modální analýza: návody do cvičení předmětu "Experimentální modální analýza". Ostrava: Vysoká škola báňská - Technická univerzita Ostrava, Fakulta strojní, 2011. ISBN 978-80-248-2756-8. (CS)
TŮMA, Jiří. Diagnostika strojů. Ostrava: VŠB - Technická univerzita Ostrava, 2009. ISBN 978-80-248-2116-0. (CS)
KOPEC, Bernard. Nedestruktivní zkoušení materiálů a konstrukcí: (nauka o materiálu IV). Brno: Akademické nakladatelství CERM, 2008. ISBN 978-80-7204-591-4. (CS)
BRANDT, Anders. Noise and vibration analysis: signal analysis and experimental procedures. Chichester: Wiley, 2011. ISBN 978-0470746448. (EN)
KINSLER, Lawrence E. Fundamentals of acoustics. 4th ed. New York: Wiley, 2000. ISBN 978-0-471-84789-2. (EN)
KREIDL, Marcel a Radislav ŠMÍD. Technická diagnostika: senzory, metody, analýza signálu. Praha: BEN - technická literatura, 2006. Senzory neelektrických veličin. ISBN 80-7300-158-6. (CS)
REGAZZO, Richard a Marcela REGAZZOVÁ. Ultrazvuk: základy ultrazvukové defektoskopie. Praha: BEN - technická literatura, 2013. Senzory neelektrických veličin. ISBN 978-80-7300-466-8. (CS)
MENTLÍK, Václav. Diagnostika elektrických zařízení. Praha: BEN - technická literatura, 2008. ISBN 978-80-7300-232-9. (CS)
CHOLLET Francois, Deep learning v jazyku Python. ISBN 80-271-2750-5 (CS)

Planned learning activities and teaching methods

Teaching methods depend on the type of education which are described in the Study and Examination Regulations of BUT. Techning methods include lectures and practical laboratories. 

Assesment methods and criteria linked to learning outcomes

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 - 30 points
Written part of exam:      0 - 60 points
Oral part of exam:            0 - 10 points

Language of instruction


Work placements

Not applicable.

Course curriculum

The main content of the lectures covered the following areas:
1. Technical devices for diagnostics - types of diagnostics, sensors and analyzers for diagnosis, methods of testing.
2. Vibrodiagnostics - measuring of vibrations (vibration analysis, spectral measurements, averaging issues, detecting of natural frequencies).
3. Diagnostics of rotating machines, balancing of rotating machines, bearings fault diagnosis.
4. Modal analysis, vibration testing - modal testing, test by vibrations and shocks.
5. Acoustic measurement - acoustic quantities (sound power, sound pressure, sound intensity), near field, far field, acoustical holography.
6. Calibration of the sensors - accelerometers, microphones, gyroscopes; types of calibration (primary, secondary), interferometry, standards.
7. Thermovision diagnostics - thermography, measurement using thermal cameras.
8. NDT methods - ultrasonic defectoscopy, magnetic methods, X-ray methods, eddy-current testing, acoustic emission - methods of testing.


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.

Specification of controlled education, way of implementation and compensation for absences

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.

Classification of course in study plans

  • Programme MPC-AUD Master's

    specialization AUDM-TECH , 1. year of study, summer semester, 6 credits, compulsory-optional

  • Programme MPC-KAM Master's, 1. year of study, summer semester, 6 credits, compulsory-optional

Type of course unit


Laboratory exercise

26 hours, compulsory

Teacher / Lecturer