Enhanced Infrared Image Processing for Impacted Carbon/Glass Fiber-Reinforced Composite Evaluation; Sensors; Vol. 18, iss. 1
| Parent link: | Sensors Vol. 18, iss. 1.— 2018.— [45, 13 p.] |
|---|---|
| Institution som forfatter: | |
| Andre forfattere: | , , , , , , , |
| Summary: | Title screen In this paper, an infrared pre-processing modality is presented. Different from a signal smoothing modality which only uses a polynomial fitting as the pre-processing method, the presented modality instead takes into account the low-order derivatives to pre-process the raw thermal data prior to applying the advanced post-processing techniques such as principal component thermography and pulsed phase thermography. Different cases were studied involving several defects in CFRPs and GFRPs for pulsed thermography and vibrothermography. Ultrasonic testing and signal-to-noise ratio analysis are used for the validation of the thermographic results. Finally, a verification that the presented modality can enhance the thermal image performance effectively is provided. |
| Sprog: | engelsk |
| Udgivet: |
2018
|
| Fag: | |
| Online adgang: | https://doi.org/10.3390/s18010045 |
| Format: | MixedMaterials Electronisk Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=667258 |
MARC
| LEADER | 00000naa0a2200000 4500 | ||
|---|---|---|---|
| 001 | 667258 | ||
| 005 | 20250307143055.0 | ||
| 035 | |a (RuTPU)RU\TPU\network\38463 | ||
| 035 | |a RU\TPU\network\31396 | ||
| 090 | |a 667258 | ||
| 100 | |a 20220311d2018 k||y0rusy50 ba | ||
| 101 | 0 | |a eng | |
| 102 | |a CH | ||
| 135 | |a drcn ---uucaa | ||
| 181 | 0 | |a i | |
| 182 | 0 | |a b | |
| 200 | 1 | |a Enhanced Infrared Image Processing for Impacted Carbon/Glass Fiber-Reinforced Composite Evaluation |f Zhang Hai, N. P. Avdelidis, A. Osman [et al.] | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 320 | |a [References: 27 tit.] | ||
| 330 | |a In this paper, an infrared pre-processing modality is presented. Different from a signal smoothing modality which only uses a polynomial fitting as the pre-processing method, the presented modality instead takes into account the low-order derivatives to pre-process the raw thermal data prior to applying the advanced post-processing techniques such as principal component thermography and pulsed phase thermography. Different cases were studied involving several defects in CFRPs and GFRPs for pulsed thermography and vibrothermography. Ultrasonic testing and signal-to-noise ratio analysis are used for the validation of the thermographic results. Finally, a verification that the presented modality can enhance the thermal image performance effectively is provided. | ||
| 461 | |t Sensors | ||
| 463 | |t Vol. 18, iss. 1 |v [45, 13 p.] |d 2018 | ||
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a infrared thermography | |
| 610 | 1 | |a polynomial fitting | |
| 610 | 1 | |a low-order derivative | |
| 610 | 1 | |a composite | |
| 610 | 1 | |a low-velocity impact | |
| 610 | 1 | |a инфракрасная термография | |
| 610 | 1 | |a композиты | |
| 610 | 1 | |a углеродные волокна | |
| 610 | 1 | |a дефекты | |
| 610 | 1 | |a углепластики | |
| 701 | 0 | |a Zhang Hai | |
| 701 | 1 | |a Avdelidis |b N. P. |g Nicolas | |
| 701 | 1 | |a Osman |b A. |g Ahmad | |
| 701 | 1 | |a Ibarra-Castanedo |b C. |g Clemente | |
| 701 | 1 | |a Sfarra |b S. |c specialist in the field of non-destructive testing |c Researcher of Tomsk Polytechnic University |f 1979- |g Stefano |3 (RuTPU)RU\TPU\pers\38660 | |
| 701 | 1 | |a Fernandes |b H. |g Henrique | |
| 701 | 1 | |a Matikas |b T. E. |g Theodore | |
| 701 | 1 | |a Maldague |b X. |g Xavier | |
| 712 | 0 | 2 | |a Национальный исследовательский Томский политехнический университет |b Исследовательская школа физики высокоэнергетических процессов |c (2017- ) |3 (RuTPU)RU\TPU\col\23551 |
| 801 | 2 | |a RU |b 63413507 |c 20220311 |g RCR | |
| 856 | 4 | |u https://doi.org/10.3390/s18010045 | |
| 942 | |c CF | ||