Design and Implementation of Component Model for Airborne System Health Monitoring and Prediction System

Yuju Cao, D. Song, Ruiqin He, Yujie Li
{"title":"Design and Implementation of Component Model for Airborne System Health Monitoring and Prediction System","authors":"Yuju Cao, D. Song, Ruiqin He, Yujie Li","doi":"10.1109/ICCC47050.2019.9064401","DOIUrl":null,"url":null,"abstract":"Research on airborne equipment health monitoring and prediction system is critical to aircraft maintenance and safety, and the most important of these is the selection and design of health assessment algorithms. At present, many scholars have conducted in-depth research on various sub-systems of aircraft, and have produced many research results in different aspects. These algorithms have different usage scenarios and application objects. For this problem, this paper proposes an algorithm component model, which was based on network service. This component model encapsulates various algorithms into service components, so that users can call appropriate health algorithms or combine them according to their own needs. Based on this model, the health management system prototype was developed using J2EE platform for functional verification. The results show that the design idea is feasible and meets the design requirements.","PeriodicalId":6739,"journal":{"name":"2019 IEEE 5th International Conference on Computer and Communications (ICCC)","volume":"105 1","pages":"1872-1876"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 5th International Conference on Computer and Communications (ICCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCC47050.2019.9064401","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Research on airborne equipment health monitoring and prediction system is critical to aircraft maintenance and safety, and the most important of these is the selection and design of health assessment algorithms. At present, many scholars have conducted in-depth research on various sub-systems of aircraft, and have produced many research results in different aspects. These algorithms have different usage scenarios and application objects. For this problem, this paper proposes an algorithm component model, which was based on network service. This component model encapsulates various algorithms into service components, so that users can call appropriate health algorithms or combine them according to their own needs. Based on this model, the health management system prototype was developed using J2EE platform for functional verification. The results show that the design idea is feasible and meets the design requirements.
机载系统健康监测与预测系统组件模型的设计与实现
机载设备健康监测与预测系统的研究对飞机的维修与安全至关重要,其中最重要的是健康评估算法的选择与设计。目前,许多学者对飞机的各个子系统进行了深入的研究,并在不同方面产生了许多研究成果。这些算法有不同的使用场景和应用对象。针对这一问题,本文提出了一种基于网络服务的算法组件模型。该组件模型将各种算法封装到服务组件中,以便用户可以根据自己的需要调用适当的健康算法或组合它们。在此模型的基础上,利用J2EE平台开发了健康管理系统原型,并进行了功能验证。结果表明,该设计思路是可行的,满足了设计要求。
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