Simulation on quantitative analysis of crack inspection by using eddy current stimulated thermography

Liu, Feng; Yang, Suixian; Leng, Chunhu; Su, Zhenwei

doi:10.1109/fendt.2013.6635529

Cited by 3 publications

(2 citation statements)

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“…So far, the testing time has been selected on the base of temporal thermal contrast evolution [7]. Some rough estimations have been also used to set the acquisition time which should be optimal to perform quality control [8][9][10]. However, such estimations usually suffer from overestimating the required time which is especially undesirable in production line applications.…”

Section: Introductionmentioning

confidence: 99%

“…In the simplest case the feature extraction has not been applied and each pixel of the thermal image has been used for classification [5,10,11]-the comparison of heating and cooling patterns for each pixel or the number of pixels above a threshold value allows for the detection of elements or regions with defects. Sometimes it is enough to monitor time changes of maximum temperature.…”

Section: Introductionmentioning

confidence: 99%

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Multivariate Analysis of Transient State Infrared Images in Production Line Quality Control Systems

Cristalli

Grabowski

2018

Applied Sciences

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Manufacturers would like to increase production volumes while preserving the high quality of their products. The long testing times can cause a bottleneck of production processes especially taking into account the observed tendency for testing all produced devices. The main aim of this work consists in the analysis of time changes of features extracted from thermal images using the multivariate approach. The paper shows that if the principal component analysis (PCA), belonging to multivariate methods, is applied for quality control based on infrared images, then the minimum testing times can be estimated. In order to draw the final conclusions regarding testing times and, what is also very important, which principal components should be selected for classification, a detailed temporal analysis for an exemplary production line has been carried out. The future impact of the results includes higher productivity and cost-effectiveness due to the determination of an optimal decision time in production line quality control systems using the proposed approach.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%