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基于因果图最小割集和最小径集在故障系统中的诊断

彭霜霜 王洪春

南京师范大学学报(工程技术版)2015,Vol.15Issue(3):60-63,4.
南京师范大学学报(工程技术版)2015,Vol.15Issue(3):60-63,4.

基于因果图最小割集和最小径集在故障系统中的诊断

A Diagnosis Approach Based on Minimal Cut Sets and Minimal Path Sets of Causality Diagram

彭霜霜 1王洪春1

作者信息

  • 1. 重庆师范大学数学学院,重庆401331
  • 折叠

摘要

Abstract

Causality diagram is mainly used for fault diagnosis and fault analysis. The paper,by using the principles and methods of causal graph models conducts a quantitative research on minimal cut sets and minimal path sets fault diagnosis method based on causal diagram,and gives instruction in aircraft engines sliding pressure warning system diagnosis example, and proposes a simple and effective mothod to find the source failure of the proposed system is. Firstly,the causality diagram is converted into a causality tree,then the minimal cut sets and minimal path sets are defined,and finally the steps of the diagnostic programs are given by combining examples.

关键词

因果图/故障诊断/最小割集/最小径集

Key words

causality diagram/fault diagnosis/minimal cut sets/minimal path sets

分类

信息技术与安全科学

引用本文复制引用

彭霜霜,王洪春..基于因果图最小割集和最小径集在故障系统中的诊断[J].南京师范大学学报(工程技术版),2015,15(3):60-63,4.

基金项目

国家社科基金(13BTJ008)、重庆高校创新团队建设计划资助项目(KJTD201308). (13BTJ008)

南京师范大学学报(工程技术版)

1672-1292

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