测井曲线超声扫描

Wei Han , Rolf Birkeland
{"title":"测井曲线超声扫描","authors":"Wei Han ,&nbsp;Rolf Birkeland","doi":"10.1016/0921-5956(92)80007-G","DOIUrl":null,"url":null,"abstract":"<div><p>This paper gives an overview of research on the non-destructive testing of wood byultrasonics. The main topic of the paper is how ultrasonics may be used to characterize defects in logs and how to develop a way to scan logs in sawmill production. By combining ultrasonics with artificial intelligence, defects can be characterized by a scheme of wavepattern recognition and a procedure of total information reasoning. The newly developed method seems to improve scanning efficiency. The result of defect characterization of a cross-section is found to agree with the result obtained by X-ray tomography.</p></div>","PeriodicalId":100666,"journal":{"name":"Industrial Metrology","volume":"2 3","pages":"Pages 253-281"},"PeriodicalIF":0.0000,"publicationDate":"1992-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0921-5956(92)80007-G","citationCount":"23","resultStr":"{\"title\":\"Ultrasonic scanning of logs\",\"authors\":\"Wei Han ,&nbsp;Rolf Birkeland\",\"doi\":\"10.1016/0921-5956(92)80007-G\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This paper gives an overview of research on the non-destructive testing of wood byultrasonics. The main topic of the paper is how ultrasonics may be used to characterize defects in logs and how to develop a way to scan logs in sawmill production. By combining ultrasonics with artificial intelligence, defects can be characterized by a scheme of wavepattern recognition and a procedure of total information reasoning. The newly developed method seems to improve scanning efficiency. The result of defect characterization of a cross-section is found to agree with the result obtained by X-ray tomography.</p></div>\",\"PeriodicalId\":100666,\"journal\":{\"name\":\"Industrial Metrology\",\"volume\":\"2 3\",\"pages\":\"Pages 253-281\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/0921-5956(92)80007-G\",\"citationCount\":\"23\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Industrial Metrology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/092159569280007G\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Industrial Metrology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/092159569280007G","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 23

摘要

本文综述了木材超声无损检测的研究现状。本文的主要课题是如何利用超声波来表征原木中的缺陷,以及如何在锯木厂生产中开发一种原木扫描方法。将超声技术与人工智能技术相结合,采用波形识别方案和全信息推理方法对缺陷进行表征。新开发的方法似乎提高了扫描效率。结果发现,缺陷表征的横截面的结果与x射线断层扫描的结果一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ultrasonic scanning of logs

This paper gives an overview of research on the non-destructive testing of wood byultrasonics. The main topic of the paper is how ultrasonics may be used to characterize defects in logs and how to develop a way to scan logs in sawmill production. By combining ultrasonics with artificial intelligence, defects can be characterized by a scheme of wavepattern recognition and a procedure of total information reasoning. The newly developed method seems to improve scanning efficiency. The result of defect characterization of a cross-section is found to agree with the result obtained by X-ray tomography.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信