Challenges in the RAMS database realization for industrial robots

Jiafan Zhang, X. Fang
{"title":"Challenges in the RAMS database realization for industrial robots","authors":"Jiafan Zhang, X. Fang","doi":"10.1109/ICRSE.2017.8030715","DOIUrl":null,"url":null,"abstract":"Industrial robots are being widely used attributed to their flexibility, repeatability, and accuracy. The reliability of industrial robots are becoming more highlighted. Over-year evidence clearly indicates that the reliability of industrial robots has had a big improvement, not only by the more reliable hardware design, but also by collecting and analyzing the failure data in fields over a long period of time. The database for the assessment of RAMS (Reliability, Availability, Maintainability and Safety) has been, therefore, paramount to industrial robot designers and manufactures. A common database for industrial robots is not a new idea. Normally, the industrial robot manufacturers retain the detailed data about faults and other incidents retained by through after-service. However, the current databases are far from satisfactory as they are not clear regarding how they will address the RAMS requirements. In this paper, the needs and expectations of the RAMS database for the industrial robots are stated. The potential technical challenges to be faced during the realization of this database are carefully discussed. It is expected that the realization of the RAMS database could bring a further improvement ranging from design, to operation and maintenance.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRSE.2017.8030715","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Industrial robots are being widely used attributed to their flexibility, repeatability, and accuracy. The reliability of industrial robots are becoming more highlighted. Over-year evidence clearly indicates that the reliability of industrial robots has had a big improvement, not only by the more reliable hardware design, but also by collecting and analyzing the failure data in fields over a long period of time. The database for the assessment of RAMS (Reliability, Availability, Maintainability and Safety) has been, therefore, paramount to industrial robot designers and manufactures. A common database for industrial robots is not a new idea. Normally, the industrial robot manufacturers retain the detailed data about faults and other incidents retained by through after-service. However, the current databases are far from satisfactory as they are not clear regarding how they will address the RAMS requirements. In this paper, the needs and expectations of the RAMS database for the industrial robots are stated. The potential technical challenges to be faced during the realization of this database are carefully discussed. It is expected that the realization of the RAMS database could bring a further improvement ranging from design, to operation and maintenance.
工业机器人RAMS数据库实现中的挑战
工业机器人因其灵活性、可重复性和准确性而得到广泛应用。工业机器人的可靠性正变得越来越突出。多年来的证据清楚地表明,工业机器人的可靠性有了很大的提高,这不仅得益于更可靠的硬件设计,还得益于长期收集和分析现场故障数据。因此,评估RAMS(可靠性、可用性、可维护性和安全性)的数据库对工业机器人设计师和制造商来说至关重要。为工业机器人建立一个通用数据库并不是一个新想法。通常情况下,工业机器人制造商通过售后服务保留有关故障和其他事件的详细数据。然而,目前的数据库远不能令人满意,因为它们不清楚如何处理RAMS的要求。本文阐述了工业机器人对RAMS数据库的需求和期望。详细讨论了该数据库实现过程中可能面临的技术挑战。期望RAMS数据库的实现能从设计、运维等方面带来进一步的改进。
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
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