Program

The course for Structural Health Monitoring and Nondestructive Testing is aimed at students of engineering studies and consists of 45 class hours (45 minutes per hour) organized during one week. The expected topics covered during the course will include:

  • Introduction to the course, focusing on the problems which will be covered during the following classes.
  • Description of the basic techniques of data processing and gathering in the problems of structural health evaluation and their continuous monitoring.
  • Presentation of the basics of vision systems and methods of machine learning applied to image data.
  • Interpretation of data using automated decision systems using methods of artificial intelligence.
  • Presentation of different methods of monitoring and evaluation of structural health.
  • A series of practical presentations on different damage detection systems.

Participation in the course is worth 3 ECTS credits, as confirmed by the certificate of attendance.

Detailed program for the upcoming edition, scheduled on:
12 – 14.07.2023, 19 – 20.07.2023

Day 1
12.07.2023
Introduction keynote
entire staff of SHMNT		08:00 – 10:30 CEST
Basics of signal processing
Kajetan Dziedziech		Filtration, Fourier transform, Basics of modal analysis, Hilbert transform, Short time Fourier transform10:45 – 13:15 CEST
Experimental modal analysis
Kajetan Dziedziech		13:45 – 15:30 CEST
Day 2
13.07.2023
Ultrasonic methods in NDT and SHM
Jakub Spytek		Classical ultrasonic testing, Laser ultrasound08:00 – 09:30 CEST
Application of Lamb waves to NDT and SHM
Jakub Spytek		Modeling of the multimodal and dispersive response;
Methods of estimation of dispersion curves;
Full-field Lamb wave imaging; Damage indices for SHM		09:45 – 12:45 CEST
Nonlinear acoustics (NA)
Andrzej Klepka		Introduction to NA, Vibro-Acoustic Modulation techniques, Modulation transfer technique13:15 – 15:30 CEST
Day 3
14.07.2023
Processing of the 2D signals
Krzysztof Holak		Linear image filtration in the spatial domain;
Nonlinear image filtration;
2D Fourier transform image and processing in the frequency domain;
Image segmentation and morphological filtering;
Practical examples and NDT applications		08:00 – 09:30 CEST
Practical examples of Vibro-Acoustic Modulation
Andrzej Klepka		09:45 – 12:45 CEST
Image analysis and feature computation
Krzysztof Holak		Binary image labeling;
Image analysis and objects description;
Features and feature extraction;
A review of features in image analysis;
Practical examples and application in NDT and SHM		13:15 – 15:30 CEST
Day 4
19.07.2023
Introduction to decision automation in the SHM
Ziemowit Dworakowski		Introduction to automatic classification and regression;
Basic algorithms;
Approaches for damage detection;
Identification and localization		08:00 – 09:30 CEST
Working with data
Decision system configuration
Ziemowit Dworakowski		Training, test and validation datasets;
Overfitting and data leakage;
Data augmentation;
Data curation;
Good experimental practices;
Feature selection;
PCA;
Metaparameter optimization		09:45 – 12:45 CEST
Vision techniques
Krzysztof Holak		Digital Image Correlation (DIC) in image processing;
Camera models for 2D and 3D computer vision;
2D vision measurement systems;
3D vision basics and applications;
Practical example of vision-based measurements		13:15 – 15:30 CEST
Day 5
20.07.2023
Advanced AI in the SHM
Ziemowit Dworakowski		Population-based SHM;
Decision fusion;
Deep learning		08:00 – 09:30 CEST
Infrared Thermography (IRT)
Łukasz Pieczonka		Introduction to IRT, passive thermography, pulsed thermography, lock-in thermography, vibrothermography09:45 – 13:30 CEST
Q&A including all lecturers14:00 – 15:30 CEST