Principal component analysis in non-destructive testing by an ultrasonic thermography method of multi-layered aramid composite

Waldemar Swiderski; Monika Pracht

doi:10.1117/12.2520854

16 July 2019 Principal component analysis in non-destructive testing by an ultrasonic thermography method of multi-layered aramid composite

Waldemar Swiderski, Monika Pracht

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Proceedings Volume 11172, Fourteenth International Conference on Quality Control by Artificial Vision; 111720D (2019) https://doi.org/10.1117/12.2520854
Event: Fourteenth International Conference on Quality Control by Artificial Vision, 2019, Mulhouse, France

Abstract

Aramid composites very often occur in the form of laminates, resulting from the combination of layers of aramid fabric joined by various resin types. The most effective methods in the testing of composites reinforced with fibres are active methods of infrared thermography. In non-destructive thermographic testing, defect detection is carried out by means of image (thermogram) analysis. During tests, a sequence of thermograms consisting mainly of several hundred or more individual images is recorded. An effective analysis of such a large number of images without the use of appropriate algorithms is practically impossible. In order to improve the visual representation of defect occurrence in the thermograms, special image processing methods are utilised, such as Principal Component Analysis. . Selected results from these analyses are presented.

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Waldemar Swiderski and Monika Pracht "Principal component analysis in non-destructive testing by an ultrasonic thermography method of multi-layered aramid composite", Proc. SPIE 11172, Fourteenth International Conference on Quality Control by Artificial Vision, 111720D (16 July 2019); https://doi.org/10.1117/12.2520854

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