诊断学因果图模型的构建

Guo Li, Jianmin Gao, Fumin Chen
{"title":"诊断学因果图模型的构建","authors":"Guo Li, Jianmin Gao, Fumin Chen","doi":"10.1109/RAMS.2008.4925777","DOIUrl":null,"url":null,"abstract":"Causality diagram is one of the most effective theoretical models for uncertainty knowledge expression and reasoning. In order to realize the computer-aided construction of the causality diagram for diagnostics, this paper proposes a simple, yet comprehensive representation model to organize the failure knowledge more systematically and completely. This method defines the failure modes as the inherent properties of the physical entities at different hierarchical levels, and employs the polychromatic sets theory to represent the failure modes in terms of their interrelationships and their relations to the physical system. Then, the infrastructure of the diagnostic causality diagram (DCD) is constructed in a deductive manner by using the iterative search process operated on the reasoning matrices of the polychromatic sets. A case study is used to illustrate the feasibility of the proposed method. The research shows that the polychromatic sets approach to the DCD construction has formed mathematical foundation and can be readily implemented in computer.","PeriodicalId":143940,"journal":{"name":"2008 Annual Reliability and Maintainability Symposium","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2008-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Construction of causality diagram model for diagnostics\",\"authors\":\"Guo Li, Jianmin Gao, Fumin Chen\",\"doi\":\"10.1109/RAMS.2008.4925777\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Causality diagram is one of the most effective theoretical models for uncertainty knowledge expression and reasoning. In order to realize the computer-aided construction of the causality diagram for diagnostics, this paper proposes a simple, yet comprehensive representation model to organize the failure knowledge more systematically and completely. This method defines the failure modes as the inherent properties of the physical entities at different hierarchical levels, and employs the polychromatic sets theory to represent the failure modes in terms of their interrelationships and their relations to the physical system. Then, the infrastructure of the diagnostic causality diagram (DCD) is constructed in a deductive manner by using the iterative search process operated on the reasoning matrices of the polychromatic sets. A case study is used to illustrate the feasibility of the proposed method. The research shows that the polychromatic sets approach to the DCD construction has formed mathematical foundation and can be readily implemented in computer.\",\"PeriodicalId\":143940,\"journal\":{\"name\":\"2008 Annual Reliability and Maintainability Symposium\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-01-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Annual Reliability and Maintainability Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RAMS.2008.4925777\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Annual Reliability and Maintainability Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAMS.2008.4925777","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

摘要

因果图是不确定性知识表达和推理最有效的理论模型之一。为了实现诊断因果图的计算机辅助构建,本文提出了一种简单而全面的表示模型,使故障知识更系统完整地组织起来。该方法将失效模式定义为不同层次物理实体的固有属性,并利用多色集合理论来表示失效模式之间的相互关系以及它们与物理系统的关系。然后,通过对多色集合的推理矩阵进行迭代搜索,以演绎的方式构建诊断因果图的基础结构。最后通过实例分析说明了该方法的可行性。研究表明,用多色集方法构建DCD具有一定的数学基础,易于在计算机上实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Construction of causality diagram model for diagnostics
Causality diagram is one of the most effective theoretical models for uncertainty knowledge expression and reasoning. In order to realize the computer-aided construction of the causality diagram for diagnostics, this paper proposes a simple, yet comprehensive representation model to organize the failure knowledge more systematically and completely. This method defines the failure modes as the inherent properties of the physical entities at different hierarchical levels, and employs the polychromatic sets theory to represent the failure modes in terms of their interrelationships and their relations to the physical system. Then, the infrastructure of the diagnostic causality diagram (DCD) is constructed in a deductive manner by using the iterative search process operated on the reasoning matrices of the polychromatic sets. A case study is used to illustrate the feasibility of the proposed method. The research shows that the polychromatic sets approach to the DCD construction has formed mathematical foundation and can be readily implemented in computer.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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