Research on Fault Diagnosis System Based on Aeroengine Knowledge Base

Yun Wang, Hua Ming, Guigang Zhang, Xing Ai, Fujian Xu, Benwang Li
{"title":"Research on Fault Diagnosis System Based on Aeroengine Knowledge Base","authors":"Yun Wang, Hua Ming, Guigang Zhang, Xing Ai, Fujian Xu, Benwang Li","doi":"10.1109/phm-yantai55411.2022.9942160","DOIUrl":null,"url":null,"abstract":"This paper studies the fault diagnosis system based on the aeroengine knowledge base, which covers the historical fault data, fault mode data, fault characteristic data of turboshaft/turboprop aero-engine, as well as diagnostic reasoning composed of expert knowledge base and decision rule base. In practical applications, it can assist the crew to troubleshoot the engine. In the current maintenance work, the troubleshooting of the engine is carried out by the maintenance personnel relying on the accumulated experience. With the accumulation of experience, the accuracy of troubleshooting is gradually improved. However, the sharing of personal experiences is poor. With the update of maintenance personnel, the maintenance capability will be reduced and the knowledge wealth will be wasted. The expert system can store and manage these experiences, to quickly realize the aero-engine fault diagnosis.","PeriodicalId":315994,"journal":{"name":"2022 Global Reliability and Prognostics and Health Management (PHM-Yantai)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Global Reliability and Prognostics and Health Management (PHM-Yantai)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/phm-yantai55411.2022.9942160","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

This paper studies the fault diagnosis system based on the aeroengine knowledge base, which covers the historical fault data, fault mode data, fault characteristic data of turboshaft/turboprop aero-engine, as well as diagnostic reasoning composed of expert knowledge base and decision rule base. In practical applications, it can assist the crew to troubleshoot the engine. In the current maintenance work, the troubleshooting of the engine is carried out by the maintenance personnel relying on the accumulated experience. With the accumulation of experience, the accuracy of troubleshooting is gradually improved. However, the sharing of personal experiences is poor. With the update of maintenance personnel, the maintenance capability will be reduced and the knowledge wealth will be wasted. The expert system can store and manage these experiences, to quickly realize the aero-engine fault diagnosis.
基于航空发动机知识库的故障诊断系统研究
本文研究了基于航空发动机知识库的故障诊断系统,该知识库涵盖了涡轴/涡桨航空发动机的历史故障数据、故障模式数据、故障特征数据,以及由专家知识库和决策规则库组成的诊断推理。在实际应用中,它可以帮助机组人员排除发动机故障。在目前的维修工作中,发动机的故障排除是由维修人员依靠积累的经验进行的。随着经验的积累,故障排除的准确性逐渐提高。然而,个人经历的分享却很差。随着维修人员的更新,维修能力会降低,知识财富会被浪费。专家系统可以存储和管理这些经验,快速实现航空发动机故障诊断。
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