Detection of micro contamination in hard disk drives using maximum likelihood estimation and angle detection

Jirarat Ieamsaard, P. Muneesawang, F. Sandnes
{"title":"Detection of micro contamination in hard disk drives using maximum likelihood estimation and angle detection","authors":"Jirarat Ieamsaard, P. Muneesawang, F. Sandnes","doi":"10.1109/JCSSE.2016.7748845","DOIUrl":null,"url":null,"abstract":"Micro contamination is one of the critical defects that occur on the head gimbal assembly (HGA). The HGA is a key component of the read/write assembly of a hard disk drive. This paper presents an image-based automatic inspection method for micro-contamination detection. Maximum likelihood estimation combined with angle measurements are proposed for identifying defects. The performance of the proposed maximum likelihood estimation and angle measurement method is compared to previous angle measurement and intensity thresholding methods. The experimental results show that the fusion of maximum likelihood estimation and angle measurements outperforms the angle measurement and intensity thresholding method with an accuracy of 87.9 % compared the accuracy of 80.1% reported in previous work.","PeriodicalId":321571,"journal":{"name":"2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/JCSSE.2016.7748845","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Micro contamination is one of the critical defects that occur on the head gimbal assembly (HGA). The HGA is a key component of the read/write assembly of a hard disk drive. This paper presents an image-based automatic inspection method for micro-contamination detection. Maximum likelihood estimation combined with angle measurements are proposed for identifying defects. The performance of the proposed maximum likelihood estimation and angle measurement method is compared to previous angle measurement and intensity thresholding methods. The experimental results show that the fusion of maximum likelihood estimation and angle measurements outperforms the angle measurement and intensity thresholding method with an accuracy of 87.9 % compared the accuracy of 80.1% reported in previous work.
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
用最大似然估计和角度检测检测硬盘驱动器中的微污染
微污染是头云台组件(HGA)上发生的关键缺陷之一。HGA是硬盘读写组件的关键部件。提出了一种基于图像的微污染自动检测方法。提出了最大似然估计与角度测量相结合的缺陷识别方法。将最大似然估计和角度测量方法的性能与先前的角度测量和强度阈值方法进行了比较。实验结果表明,最大似然估计与角度测量的融合优于角度测量和强度阈值法,精度为87.9%,而之前的研究精度为80.1%。
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
Extended hierarchical extreme learning machine with multilayer perceptron Pill image binarization for detecting text imprints An approach for density monitoring of brown planthopper population in simulated paddy fields Impact of wireless communications technologies on elder people healthcare: Smart home in Australia Energy-aware scheduling of multiple workflows application on distributed systems
×
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