Study on dynamic fault tree based mechanical abnormal running state detection method

Meixuan Li
{"title":"Study on dynamic fault tree based mechanical abnormal running state detection method","authors":"Meixuan Li","doi":"10.1109/ICVRIS51417.2020.00183","DOIUrl":null,"url":null,"abstract":"Because of the low sensitivity of the traditional method, the error of the detection result is large. In view of the above problems, the detection method of mechanical abnormal operation state based on dynamic fault tree is studied. The dynamic fault tree of mechanical operation state is established, and the dynamic fault tree is modularized, decomposed and quantitatively analyzed. The dynamic fault tree is input into the computer, and combined with the characteristics of mechanical fault signal, the detection of mechanical abnormal operation state is realized. The experimental results show that the proposed method has smaller detection error and higher sensitivity.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICVRIS51417.2020.00183","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Because of the low sensitivity of the traditional method, the error of the detection result is large. In view of the above problems, the detection method of mechanical abnormal operation state based on dynamic fault tree is studied. The dynamic fault tree of mechanical operation state is established, and the dynamic fault tree is modularized, decomposed and quantitatively analyzed. The dynamic fault tree is input into the computer, and combined with the characteristics of mechanical fault signal, the detection of mechanical abnormal operation state is realized. The experimental results show that the proposed method has smaller detection error and higher sensitivity.
基于动态故障树的机械异常运行状态检测方法研究
由于传统方法灵敏度较低,检测结果误差较大。针对上述问题,研究了基于动态故障树的机械异常运行状态检测方法。建立了机械运行状态动态故障树,并对动态故障树进行了模块化、分解和定量分析。将动态故障树输入计算机,结合机械故障信号的特点,实现对机械异常运行状态的检测。实验结果表明,该方法具有较小的检测误差和较高的灵敏度。
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