Enhanced and Automatic Defect Detection in Thermography using Stacked Denoising Autoencoder

Active infrared thermography (AIRT) with frequency-modulated stimuli has emerged as a feasible and cost-effective non-destructive testing method for checking a variety of materials, with improved fault identification and depth resolution. However, assessing this non-stationary thermal response while...

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Veröffentlicht in:	2024 5th IEEE Global Conference for Advancement in Technology (GCAT) S. 1 - 8
Hauptverfasser:	Vesala, G. T., Ghali, V. S., Lakshmi, A. Vijaya, Wang, Fei, Yerneni, Naga Prasanthi
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 04.10.2024
Schlagworte:	Autoencoder Autoencoders Defect detection Feature extraction Frequency modulated thermography Frequency modulation Infrared imaging Latent space Local outlier factor Noise reduction Stacked denoising autoencoder Steel Thermal analysis Thermal noise Vectors
ISBN:	9798350376661
Online-Zugang:	Volltext
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