Course: Technical Diagnostics

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Course title Technical Diagnostics
Course code KKS/TDS
Organizational form of instruction Lecture + Tutorial
Level of course Master
Year of study 2
Semester Winter
Number of ECTS credits 4
Language of instruction Czech
Status of course Compulsory, Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Křížek Michal, Ing. Ph.D.
Course content
Schedule of lectures 1. Introduction, testing and diagnostics of manufacturing machines, reliability, basic terms 2. Technical diagnostics, diagnostic model, expert and diagnostic system, types of signals, signal analysis, errors 3. Selected physical methods of technical diagnostics - vibration, bearings 4. Selected physical methods of technical diagnostics - acoustics, ultrasound 5. Selected physical methods of technical diagnostics - temperature, thermography, defectoscopy 6. Selected physical methods of technical diagnostics - tribodiagnostics 7. Automation of testing and diagnostics of manufacturing machines. Exercise plan 1. Introduction, familiarization with safety regulations and laboratory 2. Signal measurement, Virtual instruments, LabVIEW, introduction, principles 3. Static characteristics, strain gauges 4. Evaluation of fatigue life, stress measurement 5. Basic frequency analysis, FFT, transmission, utilization of transmission functions 6. 2nd order oscillating member (R, L, C) 7. Removable balancing of rigid rotors 8. Measurement of natural frequencies and oscillations, modal analysis, operating forms 9. Vibration diagnostics on the gearbox model, bearings, teeth, cepstrum 10. Measurement of noise, measurement of sound fields 11. Measurement of noise intensity, Beamforming 12. Geometric accuracy of lathe and cent 13. Final credit test, possible consultation of questions from students

Learning activities and teaching methods
Laboratory work, Task-based study method
  • Contact hours - 65 hours per semester
  • Presentation preparation (report) (1-10) - 20 hours per semester
  • Preparation for an examination (30-60) - 50 hours per semester
prerequisite
Knowledge
Propose an algorithm for the measurement or analysis program.
Use theoretical knowledge of programming, electrotechnics, mathematics, mechanics and machine parts in the design of diagnostic tests and measurements
Describe and explain on a higher level the physical principles and design of sensors of basic physical quantities
Knowledge in a basic office software. Knowledge in a basic programming. Knowledge in a basic physical principles of sensors.
Calculate a basic statistical parameters of data and use it to data analyze using common office software.
Skills
to design the basic parts of the diagnostic test
to design a program in any programming language (knowledge of LabVIEW advantage)
to realize basic electrical connections and mechanical composition of diagnostic tests
to use office productivity calculations
Competences
N/A
N/A
N/A
learning outcomes
Knowledge
to describe in a comprehensive way and explain advanced experimental measurement and diagnostic methods
to design a simple diagnostic test, perform measurements, analyze data, and draw general conclusions
to interpret the results of advanced mathematical analyzes in machine diagnostics
apply a virtual instruments to an experimental diagnostics
create a simply programs of a virtual instruments
Skills
use advanced computer and instrumentation to perform diagnostic tests
use LabVIEW to create experimental measurements
Competences
N/A
teaching methods
Knowledge
Lecture
Laboratory work
Skills
Laboratory work
Task-based study method
Competences
Task-based study method
assessment methods
Knowledge
Oral exam
Skills
Oral exam
Competences
Skills demonstration during practicum
Recommended literature
  • Kreidl, Marcel; Šmíd, Radislav. Technická diagnostika : senzory - metody - analýza signálu. Praha : BEN, 2006. ISBN 80-7300-158-6.
  • Vlach, Jaroslav; Havlíček, Josef; Vlach, Martin. Začínáme s LabVIEW / Jaroslav Vlach, Josef Havlíček, Martin Vlach. 1. vyd. Praha : BEN - technická literatura, 2008. ISBN 978-80-7300-245-9.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester