期刊文献+

基于能量演化的航空发动机突发性故障预示模型设计 被引量:4

Research on Catastrophic Fault Prediction Model Based on Energy Feature Revolution
下载PDF
导出
摘要 为减少突发性故障的发生及其对航空发动机的危害,提出了一种用于突发性故障预示的方法,提取系统能量特征,对其运行状态趋势进行预示。建立了突发性故障预示模型,应用能量耗散结构理论对该模型的演化过程与规律进行了描述。利用空停仿真数据对该模型进行了验证,结果表明,该模型具有较好的故障预示能力。 A method for predicting the catastrophic fault is presented,which is applied to extract the energy features and predict the condition trend to reduce the harm by the catastrophic fault.A prediction model of catastrophic fault is designed,the revolution procedure and rules of the prediction model are also described by using dissipative structure theory.The data of the in-flight shut-down failure is used to testify the model.The result suggests that the model has a good ability of fault prediction.
出处 《测控技术》 CSCD 北大核心 2012年第8期140-143,共4页 Measurement & Control Technology
基金 国家自然科学基金资助项目(51075330 50975231)
关键词 突发性故障 航空发动机 预示模型 耗散结构理论 catastrophic fault aero-engine prediction model dissipative structure theory
  • 相关文献

参考文献7

二级参考文献21

共引文献32

同被引文献48

  • 1杨建国.状态监控与故障诊断聚类分析法[J].北京航空航天大学学报,1995,21(4):89-94. 被引量:3
  • 2苗强,Viliam Makis.基于隐马尔科夫模型的故障诊断系统研究[J].航空学报,2005,26(5):641-646. 被引量:13
  • 3续媛君,潘宏侠.设备故障趋势预测的分析与应用[J].振动.测试与诊断,2006,26(4):305-308. 被引量:11
  • 4谢涛,张育林.GA—HCM混合聚类算法及其在液体火箭发动机故障检测中的应用[J].推进技术,1997,18(1):36-42. 被引量:5
  • 5Wang Zhongsheng.Research on correlation of sudden failure of aircraft with human-machine environment [C]//2011 Second International Conference on Me-chanic Automation and Control Engineering(MACE).Inner Mongolia,China:IEEE,2011:6735-6738.
  • 6周英,李森,张泉南,等.GB/T23713.1-2009机器状态监测与诊断、预测第1部分:一般指南[S].北京:中国标准出版社,2009.
  • 7Heng A,Zhang S,Tan A C C,et al.Rotating ma chinery prognostics:state of the art,challenges and opportunities[J].Mechanical Systems and Signal Pro-cessing,2009,23(3):724-739.
  • 8Murphy K P.Dynamic bayesian networks:representa-tion,inference and learning[D].California:Universi-ty of California,2002.
  • 9Rabiner L R.A tutorial on hidden markov models and selected applications in speech recognition [J].Pro-ceedings of the IEEE,1989,77(2):257-286.
  • 10Tobon-Mejia D A,Kamal M,Noureddine Z,et al.A data driven failure prognostics method based on mix-ture of gaussians hidden markov models[J].IEEE Transactions on Reliability,2012,61(2):491-503.

引证文献4

二级引证文献24

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部