ICT电源和空调设备维修批次缺陷检测方法及验证结果

Hiroki Hayasaka, Kaisei Kanetani, Sohei Nakashima, M. Yamazaki, T. Babasaki, Risshi Kondo, Masami Amano
{"title":"ICT电源和空调设备维修批次缺陷检测方法及验证结果","authors":"Hiroki Hayasaka, Kaisei Kanetani, Sohei Nakashima, M. Yamazaki, T. Babasaki, Risshi Kondo, Masami Amano","doi":"10.1109/INTLEC.2017.8214122","DOIUrl":null,"url":null,"abstract":"In this paper, we report on a method of finding lot defects and the results of a verification related to the maintenance of power-supply and air-conditioning equipment for ICT. We built a logic and models to automatically detect equipment that may be included in a defective lot. An equipment anomaly analysis system was constructed. For verification, actual past lot failure equipment was applied to the logic and models for comparison with the conventional method. As a result, detection of lot defects became faster in 3 out of 4 cases. Lot defects were generally detected at an early stage. In addition, the result of operating the equipment anomaly analysis system is described.","PeriodicalId":366207,"journal":{"name":"2017 IEEE International Telecommunications Energy Conference (INTELEC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Method for detection of lot defects for maintenance of ICT power supplies and air conditioning equipment and verification results\",\"authors\":\"Hiroki Hayasaka, Kaisei Kanetani, Sohei Nakashima, M. Yamazaki, T. Babasaki, Risshi Kondo, Masami Amano\",\"doi\":\"10.1109/INTLEC.2017.8214122\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we report on a method of finding lot defects and the results of a verification related to the maintenance of power-supply and air-conditioning equipment for ICT. We built a logic and models to automatically detect equipment that may be included in a defective lot. An equipment anomaly analysis system was constructed. For verification, actual past lot failure equipment was applied to the logic and models for comparison with the conventional method. As a result, detection of lot defects became faster in 3 out of 4 cases. Lot defects were generally detected at an early stage. In addition, the result of operating the equipment anomaly analysis system is described.\",\"PeriodicalId\":366207,\"journal\":{\"name\":\"2017 IEEE International Telecommunications Energy Conference (INTELEC)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE International Telecommunications Energy Conference (INTELEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INTLEC.2017.8214122\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Telecommunications Energy Conference (INTELEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INTLEC.2017.8214122","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

在本文中,我们报告了一种发现批次缺陷的方法以及与ICT电源和空调设备维护相关的验证结果。我们建立了一个逻辑和模型来自动检测可能包含在缺陷批次中的设备。构建了设备异常分析系统。为了验证,将实际的过去批次失效设备应用到逻辑和模型中,与传统方法进行比较。因此,在4个案例中有3个批次缺陷的检测变得更快。批次缺陷通常在早期阶段就被发现。此外,还介绍了设备异常分析系统的运行结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Method for detection of lot defects for maintenance of ICT power supplies and air conditioning equipment and verification results
In this paper, we report on a method of finding lot defects and the results of a verification related to the maintenance of power-supply and air-conditioning equipment for ICT. We built a logic and models to automatically detect equipment that may be included in a defective lot. An equipment anomaly analysis system was constructed. For verification, actual past lot failure equipment was applied to the logic and models for comparison with the conventional method. As a result, detection of lot defects became faster in 3 out of 4 cases. Lot defects were generally detected at an early stage. In addition, the result of operating the equipment anomaly analysis system is described.
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