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《火箭推进》[ISSN:1672-9374/CN:CN 61-1436/V]

Issue:

2008年03期

Page:

44-48

Research Field:

测控与试验

Publishing date:

Info

Title:

Design of diagnostic knowledge mining system for liquid propellant rocket engine

Author(s):

Yuan Xiaofeng; Xu Hualong; Xu Zhigao

Second Artillery Engineering Institute，Xi'an 710025，China

Keywords:

rocket engine; fault diagnosis; data mining

PACS:

V434

DOI:

-

Abstract:

Based on the review of the tests and fault diagnosis situation of the liquid propellant rocket engine，a diagnostic knowledge mining system(DKMS)is designed for ameliorating both the fire-test data management and diagnostic knowledge acquirement．The system，based on the client／ server architecture，consists of a data sampling subsystem，a fire-test management subsystem and a diagnostic knowledge mining subsystem．In fact，the DKMS provides a new approach for overcoming the bottleneck in diagnosis knowledge acquirement of the rocket engine．

References:

[l]刘洪刚，吴建军，陈启智．基于混合知识模型和混合推理 策略的液体发动机智能故障诊断[J]．推进技术，2003， 24(3)：194-197．
[2]张振鹏．液体火箭发动机故障检测与诊断中的基础问题 研究[J]．推进技术，2002，23[5)：353—359．
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[6]杨文献，姜节胜．基于数据挖掘的柴油机气门故障诊断技术研究[J]．机械工程学报，2004，40(10)：25—29．
[7]张育林，吴建军，朱恒伟，等．液体火箭发动机健康监控技 术口叼．长沙：国防科技大学出版社，1998．
[8]Yuan Xiaofeng，Xu Hualong。Chen Shuhong．An Impro— vement on the Constrained Association Rule Mining Algorithm[C]．Proceedings of the Ist International Conference on Distal Information Management,Bangalore India：Dec．2006：205-208．

Memo

Memo:

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