Diagnosis method of aeroengine early fault based on the Dempster-Shafer evidence theory

YANG Jian-ping; HUANG Hong-zhong; MIAO Qiang; FAN Xian-feng; WANG Gui-bao

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Diagnosis method of aeroengine early fault based on the Dempster-Shafer evidence theory

更新时间：2026-07-07

- Diagnosis method of aeroengine early fault based on the Dempster-Shafer evidence theory
- Vol. 23, Issue 12, (2008)
- 作者机构：
  
  1. 电子科技大学机械电子工程学院,成都,610054
  2. 中国人民解放军95389部队,桂林,541007
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2008
- 稿件说明：
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YANG Jian-ping, HUANG Hong-zhong, MIAO Qiang, et al. Diagnosis method of aeroengine early fault based on the Dempster-Shafer evidence theory[J]. 2008, 23(12).
DOI：

YANG Jian-ping, HUANG Hong-zhong, MIAO Qiang, et al. Diagnosis method of aeroengine early fault based on the Dempster-Shafer evidence theory[J]. 2008, 23(12). DOI：

摘要

在分析航空发动机早期故障特点和数据融合的基础上

将证据理论应用于发动机故障征兆级别的数据融合中

提出了构造基本信任指派函数的方法

从而得到了更准确的早期故障征兆.在此基础上

应用模糊聚类分析方法

依据最大隶属度原则得到发动机早期故障源.该方法考虑了发动机早期故障征兆不明确、不精确、不肯定等特点

应用模糊测度来表示征兆

更符合发动机早期故障的实际情况.

Abstract

Based on the analysis of the characteristic of aeroengine early fault and information fusion

a method of forming the basic belief function was proposed when evidence theory was applied to information fusion of aeroengine fault symptom level.Thus

more precise early fault symptom could be attained.Moreover

the acquired fault symptom was applied to fuzzy cluster analysis to obtain aeroengine fault sources.Furthermore

the proposed method used fuzzy measure to express fault symptom

and considered the characteristics of imprecision

uncertainty and ambiguity of aeroengine early fault symptom.This is more suitable for the practical situation of aeroengine early fault.

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