Probability of detection of deep defects in steel samples using Barker coded independent component thermography. Issue 19 (28th July 2020)

• Record Type: Journal Article
• Authors: Ahmad, J.; Akula, A.; Mulaveesala, R.; Sardana, H.K.
• Is Part Of: Electronics letters. Volume 56:Issue 19(2020)
• Page Start: 1005
• Page End: 1007
• Publication Date: 2020-07-28
• Subjects: steel -- infrared imaging -- carbon steel -- drilling -- ultrasonic materials testing -- flaw detection -- independent component analysis; defect aspect ratio -- BCICT approach -- 90% POD -- varying depths -- predictive assessment tool -- drilled flat‐bottomed holes -- mild steel sample -- independent component analysis method -- pulse compression properties -- independent component thermography approach -- Barker -- steel samples -- deep defects; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2020.1663
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : Barker coded independent component thermography (BCICT) approach known for exploiting the pulse compression properties with independent component analysis method was used to examine a mild steel sample with drilled flat‐bottomed holes at various depths. This Letter emphasises the application of the probability of detection (POD) as a predictive assessment tool for the efficacy of the different methods to detect the defects at varying depths. The results exhibited that the aspect ratio of the deep defect r 90 with 90% POD and r 90 / 95 for 90% POD with 95% confidence that can be detected using the BCICT approach are 3.161 and 3.835, respectively. Besides, a relation between the POD of the defect at different depths as a feature of the defect aspect ratio (diameter/depth) has also been presented.