Image-Based Feature Extraction Technique for Inclined Crack Quantification Using Pulsed Eddy Current

Autor: Faris Nafiah, Ali Sophian, Md Raisuddin Khan, Syamsul Bahrin Abdul Hamid, Ilham Mukriz Zainal Abidin
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Chinese Journal of Mechanical Engineering, Vol 32, Iss 1, Pp 1-9 (2019)
Druh dokumentu: article
ISSN: 1000-9345
2192-8258
DOI: 10.1186/s10033-019-0341-y
Popis: Abstract Existing eddy current non-destructive testing (NDT) techniques generally do not consider the inclination angle of inclined cracks, which potentially harms a larger region of a tested structure. This work proposes the use of 2D scan images generated by using pulsed eddy current (PEC) non-destructive testing (NDT) technique in the quantification of the inclination and depth of inclined cracks. The image-based feature extraction technique effectively identifies the crack axis, which consequently enables extraction of features from the extracted linear scans. The technique extracts linear scans from the images to allow the extraction of three novel image-based features, namely the length of extracted linear scans (LLS), the linear scan skewness (LSS), and the highest value on linear scan (LSmax). The correlation of the three features to surface crack inclination angles and depths were analysed and found to be highly dependent on the crack depths, while only LLS and LSS are correlated to the crack inclination angles.
Databáze: Directory of Open Access Journals
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