Research on Fault Diagnoses Expert System of Space Propulsion System

ZHANG Chun-liang; ZHANG Zhen-peng; YANG Er-fu; ZHANG Jia -feng

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Research on Fault Diagnoses Expert System of Space Propulsion System

更新时间：2026-07-07

- Research on Fault Diagnoses Expert System of Space Propulsion System
- Vol. 19, Issue 5, (2004)
- 作者机构：
  
  1. 北京航空航天大学宇航学院,北京,100083
  2. 空军第一航空学院,河南,信阳,464000
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2004
- 稿件说明：
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ZHANG Chun-liang, ZHANG Zhen-peng, YANG Er-fu, et al. Research on Fault Diagnoses Expert System of Space Propulsion System[J]. 2004, 19(5).
DOI：

ZHANG Chun-liang, ZHANG Zhen-peng, YANG Er-fu, et al. Research on Fault Diagnoses Expert System of Space Propulsion System[J]. 2004, 19(5). DOI：

摘要

采用人工智能的方法

对空间推进系统进行了有效的分区

并利用文中介绍的组合红线算法进行故障判定

建立了空间推进系统故障诊断的专家系统。通过已有的实验数据、离线回放表明此方法具有实时故障诊断、事后故障分析、系统健康监控等功能、可以有效的满足解决工程实际问题的需要。

Abstract

Based on artificial intelligence

the combined red-line algorithm is adopted to pick up fault symptoms.The fault diagnostic expert system for space propulsion system was established.The existing experimental data and off-line data display prove that this expert system is effective in real-time fault diagnosis

post flight fault analysis and healthy monitoring

and it can be used in solving engineering problems.

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Related Institution

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