Deep-Learning-based Crack Detection in Inhomogeneous X-ray Images for High-Pressure Turbine Blades in Aviation

Research output: Contribution to conferencePaperTransferpeer review

Authors

External Research Organisations

  • MTU Maintenance
View graph of relations

Details

Translated title of the contributionDeep Learning basierte Rissdetektion auf inhomogenen Röntgenbildern von Hochdruck Turbinenschaufeln in der Luftfahrt
Original languageEnglish
Publication statusAccepted/In press - 2024
EventASME Turbo Expo 2024 Turbomachinery Technical Conference & Exposition - London, United Kingdom (UK)
Duration: 24 Jun 202428 Jul 2024
Conference number: GT2024-123189

Conference

ConferenceASME Turbo Expo 2024 Turbomachinery Technical Conference & Exposition
Country/TerritoryUnited Kingdom (UK)
CityLondon
Period24 Jun 202428 Jul 2024

Keywords

    crack detection, image analysis, X-ray inspection, deep learning

Cite this

Deep-Learning-based Crack Detection in Inhomogeneous X-ray Images for High-Pressure Turbine Blades in Aviation. / Kuhlgatz, Timo; Ihler, Sontje; Bonhage, Marius et al.
2024. Paper presented at ASME Turbo Expo 2024 Turbomachinery Technical Conference & Exposition, London, United Kingdom (UK).

Research output: Contribution to conferencePaperTransferpeer review

Kuhlgatz, T, Ihler, S, Bonhage, M & Seel, T 2024, 'Deep-Learning-based Crack Detection in Inhomogeneous X-ray Images for High-Pressure Turbine Blades in Aviation', Paper presented at ASME Turbo Expo 2024 Turbomachinery Technical Conference & Exposition, London, United Kingdom (UK), 24 Jun 2024 - 28 Jul 2024.
Kuhlgatz, T., Ihler, S., Bonhage, M., & Seel, T. (Accepted/in press). Deep-Learning-based Crack Detection in Inhomogeneous X-ray Images for High-Pressure Turbine Blades in Aviation. Paper presented at ASME Turbo Expo 2024 Turbomachinery Technical Conference & Exposition, London, United Kingdom (UK).
Kuhlgatz T, Ihler S, Bonhage M, Seel T. Deep-Learning-based Crack Detection in Inhomogeneous X-ray Images for High-Pressure Turbine Blades in Aviation. 2024. Paper presented at ASME Turbo Expo 2024 Turbomachinery Technical Conference & Exposition, London, United Kingdom (UK).
Kuhlgatz, Timo ; Ihler, Sontje ; Bonhage, Marius et al. / Deep-Learning-based Crack Detection in Inhomogeneous X-ray Images for High-Pressure Turbine Blades in Aviation. Paper presented at ASME Turbo Expo 2024 Turbomachinery Technical Conference & Exposition, London, United Kingdom (UK).
Download
@conference{f2766ae2030f45ebb32747d32e1f7d2c,
title = "Deep-Learning-based Crack Detection in Inhomogeneous X-ray Images for High-Pressure Turbine Blades in Aviation",
keywords = "crack detection, image analysis, X-ray inspection, deep learning",
author = "Timo Kuhlgatz and Sontje Ihler and Marius Bonhage and Thomas Seel",
year = "2024",
language = "English",
note = "ASME Turbo Expo 2024 Turbomachinery Technical Conference & Exposition ; Conference date: 24-06-2024 Through 28-07-2024",

}

Download

TY - CONF

T1 - Deep-Learning-based Crack Detection in Inhomogeneous X-ray Images for High-Pressure Turbine Blades in Aviation

AU - Kuhlgatz, Timo

AU - Ihler, Sontje

AU - Bonhage, Marius

AU - Seel, Thomas

N1 - Conference code: GT2024-123189

PY - 2024

Y1 - 2024

KW - crack detection

KW - image analysis

KW - X-ray inspection

KW - deep learning

M3 - Paper

T2 - ASME Turbo Expo 2024 Turbomachinery Technical Conference & Exposition

Y2 - 24 June 2024 through 28 July 2024

ER -

By the same author(s)