An ultrasonic signal reconstruction algorithm of multilayer composites in non-destructive testing

This paper introduces the theory of eddy current pulsed thermography and expounds the research status of eddy current pulsed thermography in application and information extraction. Thermographic signal reconstruction, pulsed phase thermography, principal component analysis were introuduced in this paper and listed some fusion multiple methods to acquire information from infrared image. At last, it summarizes research progress, existing problem and deelopment of eddy current pulsed thermography.

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Chirplet Transform in Ultrasonic Non-Destructive Testing and Structural Health Monitoring: A Review

Engineering, Technology & Applied Science Research ◽

10.48084/etasr.2470 ◽

2019 ◽

Vol 9 (1) ◽

pp. 3778-3781

Author(s):

M. S. Mohammed ◽

K. Ki-Seong

Keyword(s):

Structural Health Monitoring ◽

Health Monitoring ◽

Ultrasonic Signal ◽

Non Destructive Testing ◽

Destructive Testing ◽

Structural Health ◽

Chirplet Transform ◽

Testing Signal ◽

Short Time ◽

Non Destructive

Ultrasonic non-destructive testing signal can be decomposed into a set of chirplet signals, which makes the chirplet transform a fitting ultrasonic signal analysis and processing method. Moreover, compared to wavelet transform, short-time Fourier transform and Gabor transform, chirplet transform is a comprehensive signal approximation method, nevertheless, the former methods gained more popularity in the ultrasonic signal processing research. In this paper, the principles of the chirplet transform are explained with a simplified presentation and the studies that used the transform in ultrasonic non-destructive testing and in structural health monitoring are reviewed to expose the existing applications and motivate the research in the potential ones.

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CFRP Non-Destructive Testing Using IR Thermography Methods

Proceedings ◽

10.3390/proceedings2019027030 ◽

2019 ◽

Vol 27 (1) ◽

pp. 30

Author(s):

Swiderski

Keyword(s):

Construction Materials ◽

Non Destructive Testing ◽

Ir Thermography ◽

Destructive Testing ◽

Active Infrared Thermography ◽

Multilayer Composites ◽

Military Applications ◽

Different Types ◽

The Many ◽

Non Destructive

Multilayer composites reinforced fibres are often used in military applications as construction materials for lightweight ballistic covers that protect against fragments and projectiles. The basic fibre used in these applications is aramid fibre, but research is also conducted using carbon fibres. One of the many methods used in non-destructive testing of composites is active infrared thermography, in which different types of sources can be used to thermally stimulate the material being tested. This paper compares the results obtained with various methods of thermal stimulation in the study of samples made with CFRP with deliberately introduced defects and destructive tests.

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Enhanced image processing for infrared non-destructive testing

Opto-Electronics Review ◽

10.2478/s11772-014-0202-2 ◽

2014 ◽

Vol 22 (4) ◽

Cited By ~ 14

Author(s):

F. Lopez ◽

X. Maldague ◽

C. Ibarra-Castanedo

Keyword(s):

Signal To Noise Ratio ◽

Signal Reconstruction ◽

Non Destructive Testing ◽

Destructive Testing ◽

Multivariate Statistical ◽

Depth Analysis ◽

Thermal Data ◽

Signal Contrast ◽

Pulsed Phase Thermography ◽

Non Destructive

AbstractThis paper presents a review and in-depth analysis of three of the most popular techniques for processing PT images: differential absolute contrast, thermographic signal reconstruction and pulsed phase thermography. The fundamental concepts of the three techniques are reviewed and their application on thermal data obtained from the PT inspection on a carbon fibre reinforced specimen is analysed. Furthermore, a new promissory technique based on multivariate statistical analysis is also introduced and evaluated. The performance of the techniques is evaluated in terms of the signal-to-noise ratio at maximum signal contrast.

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Non-destructive testing of arbitrarily shaped refractive objects with millimetre-wave synthetic aperture radar imaging

Journal of Sensors and Sensor Systems ◽

10.5194/jsss-7-309-2018 ◽

2018 ◽

Vol 7 (1) ◽

pp. 309-317 ◽

Cited By ~ 1

Author(s):

Ingrid Ullmann ◽

Julian Adametz ◽

Daniel Oppelt ◽

Andreas Benedikter ◽

Martin Vossiek

Keyword(s):

Reconstruction Algorithm ◽

Non Destructive Testing ◽

Frequency Range ◽

Destructive Testing ◽

Millimetre Wave ◽

Material Defects ◽

Polymer Devices ◽

Simulated Material ◽

Dielectric Objects ◽

Non Destructive

Abstract. Millimetre-wave (mmW) imaging is an emerging technique for non-destructive testing. Since many polymers are transparent in this frequency range, mmW imaging is an attractive means in the testing of polymer devices, and images of relatively high resolution are possible. This contribution presents an algorithm for the precise imaging of arbitrarily shaped dielectric objects. The reconstruction algorithm is capable of automatically detecting the object's contour, followed by a material-sensitive reconstruction of the object's interior. As an example we examined a polyethylene device with simulated material defects, which could be depicted precisely.

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Using the Correlation Function in Ultrasonic Non-destructive Testing

Acta Polytechnica ◽

10.14311/348 ◽

2002 ◽

Vol 42 (3) ◽

Author(s):

M. Kreidl ◽

P. Houfek

Keyword(s):

Correlation Function ◽

Cross Correlation ◽

Ultrasonic Inspection ◽

Ultrasonic Signal ◽

Cross Correlation Function ◽

Statistical Dependence ◽

Measured Signal ◽

Non Destructive Testing ◽

Destructive Testing ◽

Non Destructive

This paper deals with ultrasonic signal de-noising by means of correlation. It is commonly known that the cross-correlation function shows the statistical dependence between two signals. In ultrasonic inspection, the measured signal is taken as the first signal. The most important aspect of this method is the choice of the second signal. Various types of the second signals can be tried.

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