Damage identification by wavelet transformation of data measured in thermal processes

Pozorski, Zbigniew; Ziopaja, Krzysztof

doi:10.1002/pamm.200410186

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Defect Detection Using 2d Dwt1

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2011

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“…At the same time, in the middle part of the window, in the place of the defect, the highest peak is observed, comparing all other components. The methods of minimization of boundary disturbances and issues of the detection of several defects and assessment of defect orientation are discussed in [19].…”

Section: Defect Detection Using 2d Dwtmentioning

confidence: 99%

Damage detection using thermal experiments and wavelet transformation

Ziopaja

Pozorski

Garstecki

2011

Inverse Problems in Science and Engineering

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Damage detection using the discrete wavelet transformation (DWT) of temperature field recorded on the surface of a plate structure is discussed. Defects in the form of voids and inclusions of various magnitude are considered. Computer-simulated experiments including the ones accounting for white noise and real thermal experiments are applied. Transient heat transfer problems are analysed. The efficiency of DWT in damage detection is studied by way of a number of examples. Haar, Daubechies 4, 6 and 8 wavelets in 1D and 2D DWT are used. The usefulness of the Lipschitz exponent evaluated with the use of DWT is discussed. The issue of denoising the thermal response signals using the soft threshold shrinkage procedure is also taken up.

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Section: Defect Detection Using 2d Dwtmentioning

confidence: 99%