Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

Keywords

Equipment

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Feasibility studies of artificial intelligence-driven diagnostics

2018/31/B/ST8/00454

Keywords:

elastic wave propagation deep neural network parallel computing damage identification

Descriptors:

  • ST8_4: Fluid mechanics, technical thermodynamics
  • ST7_7: Signal processing
  • ST6_7: Artificial intelligence, intelligent systems, multi-agent systems

Panel:

ST8 - Production and processes engineering: modelling, product design, process design and control, construction methods and engineering, power units and systems

Host institution :

Instytut Maszyn Przepływowych im. Roberta Szewalskiego Polskiej Akademii Nauk

woj. pomorskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

dr hab. Paweł Kudela 

Number of co-investigators in the project: 5

Call: OPUS 16 - announced on 2018-09-14

Amount awarded: 911 560 PLN

Project start date (Y-m-d): 2019-09-03

Project end date (Y-m-d): 2023-05-02

Project duration:: 44 months (the same as in the proposal)

Project status: Project settled

Project description

Download the project description in a pdf file

Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Equipment purchased [PL]

  1. Stacja robocza z kartą nvidia Tesla (36 000 PLN)
  2. Dysk sieciowy (5 600 PLN)
  3. Matlab.
  4. Zestaw komputerowy z dwoma monitorami (14 000 PLN)

Information in the final report

  • Publication in academic press/journals (6)
  • Articles in post-conference publications (6)
  • Book publications / chapters in book publications (4)
  1. Dataset on full ultrasonic guided wavefield measurements of a CFRP plate with fully bonded and partially debonded omega stringer
    Authors:
    P. Kudela, M. Radzienski, M. Moix-Bonet, Ch. Willberg, Y. Lugovtsova, J. Bulling, K. Tschoke, J. Moll
    Academic press:
    Data in Brief (rok: 2022, tom: 42, strony: 108078), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.dib.2022.108078 - link to the publication
  2. Deep learning approach for delamination identification using animation of Lamb waves
    Authors:
    Saeed Ullah, Abdalraheem A. Ijjeh, Pawel Kudela
    Academic press:
    Engineering Applications of Artificial Intelligence (rok: 2023, tom: 117, strony: 105520), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.engappai.2022.105520 - link to the publication
  3. Full wavefield processing by using FCN for delamination detection
    Authors:
    Abdalraheem A. Ijjeh, Saeed Ullah, Pawel Kudela
    Academic press:
    Mechanical Systems and Signal Processing (rok: 2021, tom: 153, strony: 107537), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.ymssp.2020.107537 - link to the publication
  4. Deep learning based segmentation using full wavefield processing for delamination identification: A comparative study
    Authors:
    Abdalraheem A. Ijjeh, Pawel Kudela
    Academic press:
    Mechanical Systems and Signal Processing (rok: 2022, tom: 168, strony: 108671), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.ymssp.2021.108671 - link to the publication
  5. Deep learning super-resolution for the reconstruction of full wavefield of Lamb waves
    Authors:
    Abdalraheem Ijjeh, Saeed Ullah, Maciej Radzienski, Pawel Kudela
    Academic press:
    Mechanical Systems and Signal Processing (rok: 2023, tom: 186, strony: 109878), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.ymssp.2022.109878 - link to the publication
  6. Parallel spectral element method for guided wave based structural health monitoring
    Authors:
    Pawel Kudela, Jochen Moll, Piotr Fiborek
    Academic press:
    Smart Materials and Structures (rok: 2020, tom: 29, strony: 95010), Wydawca: IOP Publishing
    Status:
    Published
    DOI:
    10.1088/1361-665X/ab9e10 - link to the publication
  1. Delamination detection by using Pyramid Scene Parsing Network on Guided waves
    Authors:
    Saeed Ullah, Pawel Kudela
    Conference:
    10th International Conference on Structural Health Monitoring of Intelligent Infrastructure (rok: 2021, ), Wydawca: Conference Proceedings
    Data:
    konferencja 30 June - 2 July
    Status:
    Published
  2. A Deep Learning Based Super-Resolution Approach for the Reconstruction of Full Wavefields of Lamb Waves
    Authors:
    S. Ullah, P. Kudela, W. Ostachowicz
    Conference:
    2023 50th Annual Review of Progress in Quantitative Nondestructive Evaluation (rok: 2023, ), Wydawca: American Society of Mechanical Engineers
    Data:
    konferencja 24-27.06.2023
    Status:
    Published
  3. Delamination Identification Using Global Convolution Networks
    Authors:
    A. Ijjeh, P. Kudela
    Conference:
    European Workshop on Structural Health Monitoring (rok: 2023, ), Wydawca: Springer
    Data:
    konferencja 4-7 July 2022
    Status:
    Published
  4. Feasibility Study of Full Waveeld Processing by Using CNN for Delamination Detection
    Authors:
    Abdalraheem A. Ijjeh, Pawel Kudela
    Conference:
    10th International Conference on Structural Health Monitoring of Intelligent Infrastructure (rok: 2021, ), Wydawca: Conference Proceedings
    Data:
    konferencja 30 June - 2 July
    Status:
    Published
  5. ConvLSTM Based Approach for Delamination Identification Using Sequences of Lamb Waves
    Authors:
    S. Ullah, P. Kudela
    Conference:
    European Workshop on Structural Health Monitoring (rok: 2023, ), Wydawca: Springer
    Data:
    konferencja 4-7 July 2022
    Status:
    Published
  6. Vectorization of the Code for Guided Wave Propagation Problems
    Authors:
    Pawel Kudela, Piotr Fiborek
    Conference:
    European Workshop on Structural Health Monitoring. EWSHM 2020. Lecture Notes in Civil Engineering (rok: 2021, ), Wydawca: Springer, Cham.
    Data:
    konferencja July 4-7 2020
    Status:
    Published
  1. Data-driven based approach for damage detection
    Authors:
    Abdalraheem A. Ijjeh
    Book:
    Selected problems in mechanical engineering 2021 (rok: 2021, tom: -, strony: 41-71), Wydawca: Wydawnictwo Instytutu Maszyn Przepływowych PAN
    Status:
    Published
  2. Machine Learning for SHM: Literature Review
    Authors:
    Abdalraheem Ijjeh
    Book:
    Wybrane zagadnienia inżynierii mechanicznej (rok: 2020, tom: -, strony: 40-79), Wydawca: Wydawnictwo Instytutu Maszyn Przepływowych PAN
    Status:
    Published
  3. Articial Neural Networks and its applications in Guided Wave-based Damage Detection
    Authors:
    Saeed Ullah
    Book:
    Selected problems in mechanical engineering 2021 (rok: 2021, tom: -, strony: 399-435), Wydawca: Wydawnictwo Instytutu Maszyn Przepływowych PAN
    Status:
    Published
  4. Guided Wave Based Structural Health Monitoring
    Authors:
    Saeed Ullah
    Book:
    Wybrane zagadnienia inżynierii mechanicznej (rok: 2020, tom: -, strony: 14489), Wydawca: Wydawnictwo Instytutu Maszyn Przepływowych PAN
    Status:
    Published

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