电力设施超声诊断自动检测算法及系统的研制

Chul-ho Park, Sangsuh Park, Jeong-chae Kim, Sangbae Oh, Y. Hwang
{"title":"电力设施超声诊断自动检测算法及系统的研制","authors":"Chul-ho Park, Sangsuh Park, Jeong-chae Kim, Sangbae Oh, Y. Hwang","doi":"10.1109/CMD.2018.8535754","DOIUrl":null,"url":null,"abstract":"Nowadays the ultrasonic diagnostic equipment is used to inspect and diagnose electric facilities precisely all over the world. But the diagnosis is conducted by diagnostician manually, so that many disadvantages are occurring. To solve these problems, we have developed a high-tech system with an automatic detection algorithm and verified reliability and efficiency in the field.","PeriodicalId":6529,"journal":{"name":"2018 Condition Monitoring and Diagnosis (CMD)","volume":"69 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of automatic detection algorithm and system on ultrasonic diagnosis for electric facilities\",\"authors\":\"Chul-ho Park, Sangsuh Park, Jeong-chae Kim, Sangbae Oh, Y. Hwang\",\"doi\":\"10.1109/CMD.2018.8535754\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nowadays the ultrasonic diagnostic equipment is used to inspect and diagnose electric facilities precisely all over the world. But the diagnosis is conducted by diagnostician manually, so that many disadvantages are occurring. To solve these problems, we have developed a high-tech system with an automatic detection algorithm and verified reliability and efficiency in the field.\",\"PeriodicalId\":6529,\"journal\":{\"name\":\"2018 Condition Monitoring and Diagnosis (CMD)\",\"volume\":\"69 1\",\"pages\":\"1-4\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Condition Monitoring and Diagnosis (CMD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CMD.2018.8535754\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Condition Monitoring and Diagnosis (CMD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CMD.2018.8535754","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

目前,超声诊断设备已在世界范围内广泛应用于电气设备的精密检测和诊断。但是诊断是由诊断师手工进行的,这样就产生了很多弊端。为了解决这些问题,我们开发了一种具有自动检测算法的高科技系统,并在现场验证了可靠性和效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of automatic detection algorithm and system on ultrasonic diagnosis for electric facilities
Nowadays the ultrasonic diagnostic equipment is used to inspect and diagnose electric facilities precisely all over the world. But the diagnosis is conducted by diagnostician manually, so that many disadvantages are occurring. To solve these problems, we have developed a high-tech system with an automatic detection algorithm and verified reliability and efficiency in the field.
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