In the framework of non-destructive evaluation (NDE), an accurate and precise characterization of defects is fundamental. This paper proposes a novel method for characterization of partial detachment of thermal barrier coatings from metallic surfaces, using the long pulsed thermography (LPT). There exist many applications, in which the LPT technique provides clear and intelligible thermograms. The introduced method comprises a series of post-processing operations of the thermal images. The purpose is to improve the linear fit of the cooling stage of the surface under investigation in the logarithmic scale. To this end, additional fit parameters are introduced. Such parameters, defined as damage classifiers, are represented as image maps, allowing for a straightforward localization of the defects. The defect size information provided by each classifier is, then, obtained by means of an automatic segmentation of the images. The main advantages of the proposed technique are the automaticity (due to the image segmentation procedures) and relatively limited uncertainties in the estimation of the defect size.

Automatic defect detection and characterization by thermographic images based on damage classifiers evaluation / Dinardo, G.; Fabbiano, L.; Tamborrino, R.; Vacca, G.. - In: METROLOGY AND MEASUREMENT SYSTEMS. - ISSN 2080-9050. - STAMPA. - 27:2(2020), pp. 219-242. [10.24425/mms.2020.132771]

Automatic defect detection and characterization by thermographic images based on damage classifiers evaluation

Dinardo G.
Membro del Collaboration Group
;
Fabbiano L.
Membro del Collaboration Group
;
Tamborrino R.
Membro del Collaboration Group
;
Vacca G.
Membro del Collaboration Group
2020-01-01

Abstract

In the framework of non-destructive evaluation (NDE), an accurate and precise characterization of defects is fundamental. This paper proposes a novel method for characterization of partial detachment of thermal barrier coatings from metallic surfaces, using the long pulsed thermography (LPT). There exist many applications, in which the LPT technique provides clear and intelligible thermograms. The introduced method comprises a series of post-processing operations of the thermal images. The purpose is to improve the linear fit of the cooling stage of the surface under investigation in the logarithmic scale. To this end, additional fit parameters are introduced. Such parameters, defined as damage classifiers, are represented as image maps, allowing for a straightforward localization of the defects. The defect size information provided by each classifier is, then, obtained by means of an automatic segmentation of the images. The main advantages of the proposed technique are the automaticity (due to the image segmentation procedures) and relatively limited uncertainties in the estimation of the defect size.
2020
Automatic defect detection and characterization by thermographic images based on damage classifiers evaluation / Dinardo, G.; Fabbiano, L.; Tamborrino, R.; Vacca, G.. - In: METROLOGY AND MEASUREMENT SYSTEMS. - ISSN 2080-9050. - STAMPA. - 27:2(2020), pp. 219-242. [10.24425/mms.2020.132771]
File in questo prodotto:
File Dimensione Formato  
2020_Automatic_defect_detection_and_characterization_by_thermographic_images_pdfeditoriale.pdf

accesso aperto

Tipologia: Versione editoriale
Licenza: Creative commons
Dimensione 4.7 MB
Formato Adobe PDF
4.7 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/202818
Citazioni
  • Scopus 6
  • ???jsp.display-item.citation.isi??? 3
social impact