Module also offered within study programmes:
General information:
Name:
Experimental methods in testing of mechatronics systems
Course of study:
2013/2014
Code:
RMS-1-704-s
Faculty of:
Mechanical Engineering and Robotics
Study level:
First-cycle studies
Specialty:
-
Field of study:
Mechatronics with English as instruction languagege
Semester:
7
Profile of education:
Academic (A)
Lecture language:
English
Form and type of study:
Full-time studies
Course homepage:
 
Responsible teacher:
dr inż. Kurowski Piotr (kurowski@agh.edu.pl)
Academic teachers:
dr inż. Kurowski Piotr (kurowski@agh.edu.pl)
Module summary

Description of learning outcomes for module
MLO code Student after module completion has the knowledge/ knows how to/is able to Connections with FLO Method of learning outcomes verification (form of completion)
Skills
M_U001 Ability to plan, prepare and conduct the experiment for measurement of complex mechanical objects Activity during classes,
Execution of laboratory classes
M_U002 Ability to apply signal processing techniques to analyze real experimental data Activity during classes,
Execution of laboratory classes
Knowledge
M_W001 Knowledge of measurement techniques related to testing of mechanical systems Activity during classes,
Execution of laboratory classes
M_W002 Basic knowledge of modal analysis and techniques of the carrying and use of it Execution of laboratory classes
M_W003 Basic knowledge of the analysis of measurement signals Activity during classes,
Report,
Execution of laboratory classes
FLO matrix in relation to forms of classes
MLO code Student after module completion has the knowledge/ knows how to/is able to Form of classes
Lecture
Audit. classes
Lab. classes
Project classes
Conv. seminar
Seminar classes
Pract. classes
Others
Zaj. terenowe
Zaj. warsztatowe
E-learning
Skills
M_U001 Ability to plan, prepare and conduct the experiment for measurement of complex mechanical objects - - + - - - - - - - -
M_U002 Ability to apply signal processing techniques to analyze real experimental data - - + - - - - - - - -
Knowledge
M_W001 Knowledge of measurement techniques related to testing of mechanical systems + - - - - - - - - - -
M_W002 Basic knowledge of modal analysis and techniques of the carrying and use of it + - - - - - - - - - -
M_W003 Basic knowledge of the analysis of measurement signals + - - - - - - - - - -
Module content
Lectures:

Topics discussed during the lectures:

  • Preparation and planning of the experiment.
  • Applied Measurement Systems.
  • Basic analysis of measured signals.
  • Measurement techniques associated with the vibrations of mechanical systems.
  • Introduction to modal analysis.
  • Classic and operational modal analysis – techniques for parameter estimation.
  • Example of selected measurement systems for modal analysis.
  • Techniques to verify and validate the resulting dynamic model.
  • Applications of modal model

Laboratory classes:

The lab topics are addressed:

  • Instrumentation and test equipment associated with the collection of dynamic signals.
  • Processing of measurement signals
  • The experimental techniques for estimation of structure: a test pulse
  • The experimental techniques in structural dynamics studies: force and polyharmonic random,
  • The experimental techniques for estimation of construction: operating force.
  • The experimental techniques for estimation of design: the use of optical methods.
  • Estimation of parameters: Techniques that use models for a single degree of freedom.
  • Estimation of parameters: Classical modal analysis,
  • Estimation of parameters: Operational modal analysis.
  • Verification of the results
  • The use of modal model.

Seminar classes:
-
Student workload (ECTS credits balance)
Student activity form Student workload
Summary student workload 60 h
Module ECTS credits 2 ECTS
Contact hours 45 h
Preparation for classes 10 h
Preparation of a report, presentation, written work, etc. 5 h
Additional information
Method of calculating the final grade:

The average of the marks obtained for the reports ​​.

Prerequisites and additional requirements:

Prerequisites and additional requirements not specified

Recommended literature and teaching resources:

Recommended literature and teaching resources not specified

Scientific publications of module course instructors related to the topic of the module:

Additional scientific publications not specified

Additional information:

None