Course Information
TitleΠειραματικές Μέθοδοι στις Ταλαντώσεις / EXPERIMENTAL METHODS IN VIBRATION
SchoolMechanical Engineering
Cycle / Level2nd / Postgraduate
Teaching PeriodWinter
CoordinatorKonstantinos Karatzas
Course ID20002103

Programme of Study: PPS Aeromichanics Turboengines

Registered students: 1
OrientationAttendance TypeSemesterYearECTS
CoreElective Courses belonging to the selected specialization115

Class Information
Academic Year2018 – 2019
Class PeriodWinter
Faculty Instructors
Weekly Hours3
Class ID
Course Type 2016-2020
  • Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Face to face
The course is also offered to exchange programme students.
Language of Instruction
  • English (Instruction, Examination)
General Prerequisites
Basics of vibration theory, Matrix algebra, computer programming with matlab or equivalent comp. environment.
Learning Outcomes
Students should be able to apply the methods and algorithms taught in the class in order to: (a) learn from vibration data and thus extract knowledge (b) reveal “hidden” relationships between heterogeneous parameters (c) visualize and explain parameter relationships and dynamic (vibration) system behaviour, as well as (d) simulate, model and provide forecasts for a studied dataset.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Adapt to new situations
  • Make decisions
  • Work autonomously
  • Work in teams
  • Work in an international context
  • Work in an interdisciplinary team
  • Generate new research ideas
  • Design and manage projects
  • Appreciate diversity and multiculturality
  • Respect natural environment
  • Demonstrate social, professional and ethical commitment and sensitivity to gender issues
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Analytical modal analysis (structural model equations, modal model equations, frequency response function, impulse response functions, viscous and structural damping, classically and non-classically damped systems). Signal processing theory (Fourier transform for periodic and non-periodic signals, sampled time and frequency transforms, aliasing, leakage, auto- and cross-correlation, auto- and cross-power spectra, frequency response functions and coherence). Modal parameter estimation (multiple-input multiple-output time and frequency domain methods, operational modal analysis methods). Testing techniques (forced and motion transducers, data acquisition and analysis system, test set-up, FRF measurements, excitation considerations). Modal model validation methods (modal assurance criterion). Finite element model validation and updating (least squares, maximum likelihood, Bayesian inference methods). Data oriented investigations, analysis and modelling: Arithmetic, logical and nominal parameters, construction of feature space. Data investigation and analysis methods (Principal Component Analysis, Self Organizing Maps, Clustering). System modelling with the aid of experimental data (Artificial Neural Networks, etc). Analysis and optimization of experimental procedures. System diagnostics possibilities on the basis of experimental data. Experimental design (information theory methods for optimal sensor locations and optimal selection of excitation characteristics). Applications from the area of machine dynamics and turboengines.
data analysis, computational intelligence, modelling, simulation, vibration measurements
Educational Material Types
  • Notes
  • Slide presentations
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
Learning material is provided via ICT. Computational exercises are completed with the aid of Matlab and WEKA. All course material, information, announcements and communications are done via the Internet and the course web site.
Course Organization
Laboratory Work
Reading Assigment15
Written assigments30
Student Assessment
Student Assessment methods
  • Performance / Staging (Formative, Summative)
  • Report (Formative, Summative)
Additional bibliography for study
Lecture slides and lecture notes are made available
Last Update