Designing Health Indicators for Aerospace Structures by Intelligent Information Fusion

Moradi, Morteza

Designing Health Indicators for Aerospace Structures by Intelligent Information Fusion

Doctoral thesis (2024)

Authors

Morteza Moradi Group Zarouchas

Contributors

R. Benedictus Group Benedictus (promotor)

Dimitrios S. Zarouchas Group Zarouchas (promotor)

Research Group

Group Zarouchas

Machine learning Signal Processing Composite Structures Condition Monitoring Impact damage Deep learning (DL) Structural Health Monitoring (SHM) Acoustic Emission Semi-supervised Learning Data-Driven Models Guided waves Artificial Intelligent (AI) Prognostics and Health Management (PHM) Intelligent health indicator Interpretable neural network Health indicator Compression fatigue Information Fusion Fatigue loading

To reference this document use:

http://resolver.tudelft.nl/uuid:7ac03701-b97a-427d-990c-e6c696d1254b

More Info

expand_more

Published Date

2024

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Research Group

Group Zarouchas

Files

PhDThesis_MortezaMoradi.pdf

(pdf | 551 Mb)

License info not available

File under embargo until 30-06-2025