期刊文献+

基于单故障叠加的航天器故障数据仿真方法

Simulation of Complex Spacecraft Fault Data Based on A Single Fault Superposition Model
下载PDF
导出
摘要 针对测试故障诊断系统可靠性的问题,在传统基于对故障航天器的参数估计模拟的故障数据仿真基础上,提出一种基于单故障叠加模型的航天器复杂故障数据仿真方法,新型数据仿真方法能够在有限次迭代的情况下逐次逼近仿真航天器故障数据,对航天器故障的仿真实验证明,该方法可广泛应用于各类航天器故障诊断系统的测试过程。 A complex spacecraft fault data simulation method based on a single fault superposition model is developed to test the reliability of spacecraft fault diagnosis systems.Unlike the traditional way of fault data simulation,which is based on simulation of parameter estimation,the new method approximates to spacecraft fault data in finite iterations.Simulation tests show the method can be extensively used in tests of different spacecraft fault diagnosis systems.
出处 《飞行器测控学报》 2012年第3期58-61,共4页 Journal of Spacecraft TT&C Technology
关键词 航天器故障诊断 遥测参数故障 单故障 加性故障 spacecraft fault diagnosis telemetry parameter fault single fault additive fault
  • 相关文献

参考文献7

  • 1张宗美,翟彬,张国瑞.航天故障手册[M].北京:中国宇航出版社,1994:225-242.
  • 2Frank P M, Wunnenberg J. Robust Fault Diagnosis Using Unknown Input Schemes[J]. IEEE Trans. on Automatic Control, 1989,23(6) -3 - 4.
  • 3Chow E Y, Willsky A S. Analytical Redundancy and the De- sign of Robust Failure Detection Systems[J].IEEE Trans. on Automatic Control, 1984, 29(7):56- 59.
  • 4Isermann R. Process Fault Detection on Modeling and Estimation Methods-a Survey[J].Automatica, ]984,20 (4) :387 - 404.
  • 5张健成,周士昌,虞和济,丁相福,李国栋.故障诊断中的信息机制[J].基础自动化,2000,7(4):6-9. 被引量:3
  • 6刘蕴才.无线电遥测遥控[M].北京:国防工业出版社,2001..
  • 7罗伦茨RD,哈兰DM.航天系统故障与对策[M].北京:中国宇航出版社,2007:44-73.

二级参考文献25

  • 1[2]Mehra,R.K.and Peschon,J.,An innovations approach to faul t detection and diagnosis in dynamic system[J].Automatica,1971,7(3):637-640.
  • 2[3]Willsky,A.S.,A survey of design methods for failure detec tion in dynamic systems[J].Automatica,1976,12(6):601-611.
  • 3[4]Gertler,J.,Survey of model-based failure detection and i solation in complex plants[J].IEEE Control System Magazine,1988,8(6):3-11.
  • 4[5]Patton,R.J.and Chen,J.,A survey of robustness in quantita tive model-based fault diagnosis[J].Journal of apply math.Comput.Science,1993 ,3(2):15-32.
  • 5[6]Patton,R.J.,Chen,J.and Nielsen,S.B.,Model-based methods for fault diagnosis:some guide-lines[J].Trans.Inst.MC,1995,17(2):73-83.
  • 6[7]Bruzzone,S.P.and Kaveh,M.,Information tradeoffs in using the sample autocorrelation function in ARMA parameter estimation[J].IEEE Trans .Acoust.,Speech,Signal Processing,1984,32(2):701-715.
  • 7[8]Rougee,A.and Basseville,M.,etc.,Optimum robust detection of changes in the AR part of a multivariable ARMA process[J].IEEE Trans.on Aut omat.Contr,1987,32(12):1116-1120.
  • 8[9]Basseville,M.,Detecting changes in signals and syste ms-a survey[J]. Automatica,1988,24(3):309-326.
  • 9[10]Danai,K.and Chin,H.,Fault diagnosis with process uncert ainty[J].ASME J.of DSMC,1991,113(3):339-343.
  • 10[11]Isermann,R.,Process fault detection based on modeling a nd estimation methods-a survey[J].Automatica,1984,20(4):387-404.

共引文献8

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