2019
DOI: 10.1016/j.tws.2018.12.028
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Damage detection in circular cylindrical shells using active thermography and 2-D discrete wavelet analysis

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Cited by 15 publications
(3 citation statements)
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“…IRT is a non‐destructive test method which detects infrared energy emitted from an object, changes it to temperature, [ 36,37 ] and shows an image of temperature distribution. [ 38 ] Passive IRT is used in this study to record the temperature of the sample during the mechanical testing. [ 39 ] Surface temperature distribution of the specimen is recorded during the test with an infrared camera (FLIR X6580sc) containing 50 mm lens which is placed at ~70 cm away from the tensile test specimen.…”
Section: Experimental Setup and Numerical Modelingmentioning
confidence: 99%
“…IRT is a non‐destructive test method which detects infrared energy emitted from an object, changes it to temperature, [ 36,37 ] and shows an image of temperature distribution. [ 38 ] Passive IRT is used in this study to record the temperature of the sample during the mechanical testing. [ 39 ] Surface temperature distribution of the specimen is recorded during the test with an infrared camera (FLIR X6580sc) containing 50 mm lens which is placed at ~70 cm away from the tensile test specimen.…”
Section: Experimental Setup and Numerical Modelingmentioning
confidence: 99%
“…Ahmad et al [75] proposed the detection of damage to the cylindrical shell using DWT analysis in a post-processing technique based on active IRT as one of the NDT. ABAQUS simulation was used to analyze the transient heat transfer problem of the damaged doublesided shell.…”
Section: Advances Of Dwtmentioning
confidence: 99%
“…The traditional approach of structural assessment involves periodic manual inspection which is time-consuming, labour intensive, and highly dependent on the inspector's level of knowledge, skill, and experience [3][4][5]. On the other hand, in recent years, many researchers have demonstrated the efficacy of image processing techniques in order to study various physical phenomena more accurately [6][7][8][9]. Therefore, due to the mentioned drawbacks, automatic crack detection using image and video processing has received a lot of attention in order to develop a faster and more efficient way of crack assessment in civil and mechanical engineering structures.…”
Section: Introductionmentioning
confidence: 99%