The Mathematics Foundation and Application of Fuzzy Fault Graph

SONG Zhi ping; LI Ying hong; LIU Jian xun

Chinese

您当前的位置：

首页 >

文章列表页 >

The Mathematics Foundation and Application of Fuzzy Fault Graph

更新时间：2026-07-07

- The Mathematics Foundation and Application of Fuzzy Fault Graph
- Vol. 17, Issue 1, (2002)
- 作者机构：
  
  空军工程大学工程学院,陕西,西安,710038
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2002
- 稿件说明：
移动端阅览
SONG Zhi ping, LI Ying hong, LIU Jian xun. The Mathematics Foundation and Application of Fuzzy Fault Graph[J]. 2002, 17(1).
DOI：

SONG Zhi ping, LI Ying hong, LIU Jian xun. The Mathematics Foundation and Application of Fuzzy Fault Graph[J]. 2002, 17(1). DOI：

摘要

为了对不确定的故障关系进行描述和分析

提出了模糊故障图。定义并分析了它的代数基础—模糊间集、间集的链关系及一些相关概念

提出了基于模糊故障图进行故障诊断的方法

并应用于实际系统

较好地实现了模糊故障诊断。模糊故障图可以有效地描述复杂系统的故障关系

实现模糊的系统故障分析。

Abstract

To describe and analyze the uncertain fault relation

fuzzy fault graph was presented.Its mathematics foundation

named fuzzy Mid Set and some other relevant conceptions

were defined and analyzed.So the structure and property of fuzzy fault graph became definite.Then the method of fault diagnosis based on fuzzy fault graph was also put forward.When the method was used in a factual system analysis

the fuzzy fault diagnosis was realized preferably.The fuzzy fault graph can be used in describing the fault relationship of complicated system effectively and realizing the fuzzy fault analysis preferably.

关键词

Keywords

references

Views

459

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Fault diagnosis of rolling bearings based on IRCMNDE and NNCHC

Underdetermined blind source separation based on density peak clustering for gear fault identification

Fault diagnosis of abnormal fuel injection of small aviation piston engine

Small sample fault diagnosis of aeroengine based on RS-CART decision tree

组合式弹性金属密封泄漏特性实验研究与结构优化

Related Author

Xiaoyi YANG

Weiquan DENG

Jun MA

Miaozhen LI

Shunming LI

Jiantao LU

Ruijun LIANG

Wenfeng RAN

Related Institution

Key Laboratory of Artificial Intelligence of Yunnan Province， Kunming University of Science and Technology

Faculty of Information Engineering and Automation， Kunming University of Science and Technology

Faculty of Civil Aviation and Aeronautics， Kunming University of Science and Technology

College of Energy and Power Engineering，Nanjing University of Aeronautics and Astronautics

College of Mechanical and Electrical Engineering，Nanjing University of Aeronautics and Astronautics

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰