Course detail

Experimental Methods

FSI-QEMAcad. year: 2019/2020

The course "Experimental Methods" familiarises students with the procedures and methods used for experimental solution of tasks given in the field of transport technology. It enables students to apply them to practical situations. It explains basic methods of measuring mechanical quantities and defines the structure of the measuring and control chain. The course deals with the analysis of analog and digital signals in the time and the frequency domain too. A part of the course is also devoted to the measurement of kinematic quantities, forces, torques, pressure and noise. It defines the basic concepts and categories of safety and technical diagnostics. Special emphasis is placed on the tribodiagnostics and vibroacoustic diagnostics, especially on the methods of processing diagnostic signals in the time and the frequency domain.

Learning outcomes of the course unit

Students will have an overview of contemporary possibilities of experimental detection of some mechanical quantities needed for an assessment of failure-free operation of machines and their parts. They will be provided with fundamental practical knowledge of and experience with these problems. They will be able to formulate real requests for these activities and will have a grasp of evaluation and interpretation of the results.


Basic knowledge of mathematics, numerical mathematics, statistics and probability, physics, mechanics and electrical engineering.


Not applicable.

Recommended optional programme components

Not applicable.

Recommended or required reading

Not applicable.

Planned learning activities and teaching methods

The course is taught through lectures explaining the basic principles and theory of the discipline. Teaching is suplemented by practical laboratory work.

Assesment methods and criteria linked to learning outcomes

Course-unit credit is awarded on the following conditions: - active participation in the seminars, - good results of elaborated laboratory exercises, - solution of additional tasks in case of longer excusable absence. Examination combined (written and oral). In the written part the student has to prove knowledge of basic terms, important principles and their application; 20% of the evaluation forms classification labs.

Language of instruction


Work placements

Not applicable.


Students will acquire theoretical and practical knowledge of and experience with contemporary methods intended for experimental solution of problems especially from the area of combustion engines and cars.

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

Attendance at practicals is required. One absence can be compensated for by attending a seminar with another study group in the same week, or by elaboration of substitute tasks. Longer absence may be compensated for by special tasks according to instructions of the tutor.

Classification of course in study plans

  • Programme M2I-P Master's

    branch M-ADI , 1. year of study, summer semester, 5 credits, compulsory
    branch M-ADI , 1. year of study, summer semester, 5 credits, compulsory

Type of course unit



26 hours, optionally

Teacher / Lecturer


1. Fundamentals of experimentation theory
2. Measurement of non-electric quantities
3. Strain gauges
4. Processing of a measured signal
5. Time and frequency domain analyses of a signal
6. CAT/CAME systems + GPS
7. Reliability of the automotile systems
8. Application of TD on car chassis
9. On-board diagnostic of vehicles
10. Pressure and fluid flow measurement
11. Sound measurement + Acoustic holography
12. Experimental modal analyses

Laboratory exercise

26 hours, compulsory

Teacher / Lecturer


1) Safety of work in laboratory, excursion to the laboratory of technical diagnostics, introduction of the current projects
2) Crash test – calculation of crash velocity, experimental evaluation of several deformation zones
3) Measuring chain, principle and calibration demonstration of chosen sensors
4) Correlation based velocity measurement
5) Modal analysis, FFT
6) Datalogging in automotive industry
7) PC based measuring programs: Labview, Dewesoft
8) Vehicle localization – decoding of NMEA sentences
9) Non-removal diagnostics of car suspension
10) Acoustics measurements
11) OBD – on board diagnostics
12) Assessment awarding


eLearning: opened course