CLUSTERING OF LOCALIZED ACOUSTIC EMISSION SOURCES BY THE DBSCAN ALGORITHM IN SEPARATORS

Q4 Engineering
Pavel Makarikhin, Anastasiya Grigorieva, Margarita Maksimenko
{"title":"CLUSTERING OF LOCALIZED ACOUSTIC EMISSION SOURCES BY THE DBSCAN ALGORITHM IN SEPARATORS","authors":"Pavel Makarikhin, Anastasiya Grigorieva, Margarita Maksimenko","doi":"10.24874/pes05.03.013","DOIUrl":null,"url":null,"abstract":"In this paper, the method for locating sources of acoustic emission by approximate calculation of potential coordinates using a grid superimposed on the area around the sensors that detected the wave was proposed. Various noises such as electromagnetic pulses and other external noises were removed from input data. The DBSCAN clustering algorithm was applied. The results were compared with the real state of the object under study after additional control. Analytical and practical research points to the possibility of using the presented method as a tool for determining the coordinates of defect development points and wave velocity.","PeriodicalId":33556,"journal":{"name":"Proceedings on Engineering Sciences","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings on Engineering Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24874/pes05.03.013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0

Abstract

In this paper, the method for locating sources of acoustic emission by approximate calculation of potential coordinates using a grid superimposed on the area around the sensors that detected the wave was proposed. Various noises such as electromagnetic pulses and other external noises were removed from input data. The DBSCAN clustering algorithm was applied. The results were compared with the real state of the object under study after additional control. Analytical and practical research points to the possibility of using the presented method as a tool for determining the coordinates of defect development points and wave velocity.
基于dbscan算法的分离器局部声发射源聚类
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 求助全文
来源期刊
CiteScore
1.00
自引率
0.00%
发文量
55
审稿时长
12 weeks
×
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