首页> 外文会议>International Conference on Advances in Materials, Machinery, Electronics >Application of Dynamic Uncertain Causality Graph in Spacecraft Fault Diagnosis: Multi-Conditions
【24h】

Application of Dynamic Uncertain Causality Graph in Spacecraft Fault Diagnosis: Multi-Conditions

机译:动态不确定因果图在航天器故障诊断中的应用:多条件

获取原文

摘要

Intelligent diagnosis system is applied to fault diagnosis in spacecraft. Dynamic Uncertain Causality Graph (DUCG) is a new probability graphic model with many advantages. In this paper, DUGG is applied to fault diagnosis in spacecraft: introducing conditional functional events into ordinary DUCG to deal with spacecraft multi-conditions. Now, DUCG has been tested in 16 typical faults with 100% diagnosis accuracy.
机译:智能诊断系统应用于航天器中的故障诊断。动态不确定因果关系图(DUCG)是一种具有许多优点的新概率图形模型。在本文中,Dugg应用于航天器的故障诊断:将条件功能事件引入普通DUCG以处理航天器多条件。现在,DUCG已经在16种典型故障中进行了测试,诊断精度为100%。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号