Designing Health Indicators for Aerospace Structures by Intelligent Information Fusion

Research output: ThesisDissertation (TU Delft)

Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Aerospace Structures & Materials
Supervisors/Advisors
  • Benedictus, R., Supervisor
  • Zarouchas, D., Supervisor
Thesis sponsors
Award date16 Sept 2024
Print ISBNs978-94-6384-632-5
Electronic ISBNs978-94-6384-631-8
DOIs
Publication statusPublished - 2024

Keywords

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

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