Defect Detection Using Fan Chirp Transform using Quadratic Frequency Modulated Thermal Wave Imaging

M. Muzammil Parvez, M.Lakshmana Kumar, R. Ravindran, R. Anirudh, Lokam Nithin Bharadwaj, Chella Santhosh, Thondam Sri Ravi Teja, R.G.N Vardhan Reddy
{"title":"Defect Detection Using Fan Chirp Transform using Quadratic Frequency Modulated Thermal Wave Imaging","authors":"M. Muzammil Parvez, M.Lakshmana Kumar, R. Ravindran, R. Anirudh, Lokam Nithin Bharadwaj, Chella Santhosh, Thondam Sri Ravi Teja, R.G.N Vardhan Reddy","doi":"10.1109/AISP53593.2022.9760566","DOIUrl":null,"url":null,"abstract":"Lifetime of the material is important in various fields of applications. Aerospace, mosaics, and metallic objects serving in realistic applications in day today life. Materials possessing greater defect have low lifetime when compared with materials having smaller defects. So it’s important to check the detects in order to have a knowledge of material’s lifetime different detection techniques are performed to find subsurface anomalies. In this research investigation a non-contact, and Quadratic Frequency Modulated thermal wave imaging technique (QFMTWI) is used to evaluate the whole field of the material with more reliable information. The recorded thermal response provides the information regarding cracks, voids, irregularities present in the material’s sub-surface. Fan Chirp transform method is adopted. It is a method which matches completely with the chirp rate obtained from the sample to facilitate improved visualization of defects. Fan-Chirp transform method provides a noteworthy defect detection of the sample.","PeriodicalId":6793,"journal":{"name":"2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)","volume":"33 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AISP53593.2022.9760566","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Lifetime of the material is important in various fields of applications. Aerospace, mosaics, and metallic objects serving in realistic applications in day today life. Materials possessing greater defect have low lifetime when compared with materials having smaller defects. So it’s important to check the detects in order to have a knowledge of material’s lifetime different detection techniques are performed to find subsurface anomalies. In this research investigation a non-contact, and Quadratic Frequency Modulated thermal wave imaging technique (QFMTWI) is used to evaluate the whole field of the material with more reliable information. The recorded thermal response provides the information regarding cracks, voids, irregularities present in the material’s sub-surface. Fan Chirp transform method is adopted. It is a method which matches completely with the chirp rate obtained from the sample to facilitate improved visualization of defects. Fan-Chirp transform method provides a noteworthy defect detection of the sample.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
二次调频热波成像的风扇啁啾变换缺陷检测
材料的寿命在各种应用领域都很重要。航空航天、马赛克和金属物体在日常生活中的实际应用。与缺陷较小的材料相比,缺陷较大的材料寿命较低。因此,为了了解材料的使用寿命,对探测设备进行检查非常重要,不同的探测技术可以用来发现地下异常。本研究采用非接触式二次调频热波成像技术(QFMTWI)对材料的全场进行评价,获得了更可靠的信息。记录的热响应提供了有关材料表面下存在的裂缝、空洞和不规则性的信息。采用扇形啁啾变换方法。这是一种与从样品中获得的啁啾率完全匹配的方法,有助于改进缺陷的可视化。风扇-啁啾变换方法提供了一个值得注意的缺陷检测样品。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A 5.80 GHz Harmonic Suppression Antenna for Wireless Energy Transfer Application Crack identification from concrete structure images using deep transfer learning Energy Efficient VoD with Cache in TWDM PON ring Blockchain-based IoT Device Security A New Dynamic Method of Multiprocessor Scheduling using Modified Crow Search Optimization
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1