Noise suppression in pulsed IR thermographic NDT: Efficiency of data processing algorithms; NDT & E International; Vol. 148
| Parent link: | NDT & E International.— .— Amsterdam: Elsevier Science Publishing Company Inc. Vol. 148.— 2024.— Article number 103240, 15 p. |
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| Autor corporatiu: | |
| Altres autors: | , , , , |
| Sumari: | Title screen Various types of noise, which accompany active TNDT procedures using optical heating, have been analyzed, both numerically and experimentally. An emphasis has been made on the suppression of surface clutter, which represents local areas of varying absorptivity/emissivity. The concept of signal-to-noise that is typically used in defect detection has been applied to fixed pattern noise in order to compare capabilities of data processing algorithms in reducing surface clutter. The experimental investigation has been fulfilled on a special sample containing both subsurface air-filled defects and areas with varying emissivity/absorptivity. The best suppression of the fixed pattern noise was provided by the complex wavelet transform and principle component analysis. Because of 3D heat diffusion, clutter spot boundaries are often underlined by particular data processing algorithms thus producing specific contours. The test situations where subsurface defects are located under localized clutter spots have been analyzed to demonstrate an overshadowing effect of such spots when detecting hidden defects Текстовый файл AM_Agreement |
| Idioma: | anglès |
| Publicat: |
2024
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| Matèries: | |
| Accés en línia: | https://doi.org/10.1016/j.ndteint.2024.103240 |
| Format: | Electrònic Capítol de llibre |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=675252 |
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| 330 | |a Various types of noise, which accompany active TNDT procedures using optical heating, have been analyzed, both numerically and experimentally. An emphasis has been made on the suppression of surface clutter, which represents local areas of varying absorptivity/emissivity. The concept of signal-to-noise that is typically used in defect detection has been applied to fixed pattern noise in order to compare capabilities of data processing algorithms in reducing surface clutter. The experimental investigation has been fulfilled on a special sample containing both subsurface air-filled defects and areas with varying emissivity/absorptivity. The best suppression of the fixed pattern noise was provided by the complex wavelet transform and principle component analysis. Because of 3D heat diffusion, clutter spot boundaries are often underlined by particular data processing algorithms thus producing specific contours. The test situations where subsurface defects are located under localized clutter spots have been analyzed to demonstrate an overshadowing effect of such spots when detecting hidden defects | ||
| 336 | |a Текстовый файл | ||
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| 461 | 1 | |t NDT & E International |c Amsterdam |n Elsevier Science Publishing Company Inc. | |
| 463 | 1 | |t Vol. 148 |v Article number 103240, 15 p. |d 2024 | |
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a Infrared thermography | |
| 610 | 1 | |a Nondestructive testing | |
| 610 | 1 | |a Noise | |
| 610 | 1 | |a Data processing | |
| 610 | 1 | |a Modeling | |
| 701 | 1 | |a Vavilov |b V. P. |c Specialist in the field of dosimetry and methodology of nondestructive testing (NDT) |c Doctor of technical sciences (DSc), Professor of Tomsk Polytechnic University (TPU) |f 1949- |g Vladimir Platonovich |9 16163 | |
| 701 | 1 | |a Chulkov |b A. O. |c specialist in the field of non-destructive testing |c Deputy Director for Scientific and Educational Activities; acting manager; Senior Researcher, Tomsk Polytechnic University, Candidate of Technical Sciences |f 1989- |g Arseniy Olegovich |9 16220 | |
| 701 | 1 | |a Shiryaev |b V. V. |c specialist in the field of non-destructive testing |c Senior researcher of Tomsk Polytechnic University, Candidate of technical sciences |f 1948- |g Vladimir Vasilyevich |9 16219 | |
| 701 | 1 | |a Kuimova |b M. V. |c linguist |c Head of the Department of Tomsk Polytechnic University, Candidate of pedagogical sciences |f 1976- |g Marina Valerievna |9 16631 | |
| 701 | 0 | |a Hai Zhang | |
| 712 | 0 | 2 | |a National Research Tomsk Polytechnic University |c (2009- ) |9 27197 |4 570 |
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