期刊文献+

基于模型的故障诊断方法研究

Research on Model-Based Methods for Fault Diagnosis
下载PDF
导出
摘要 目前,对非线性动态系统故障诊断的研究越来越深入,产生了多种新方法和新理论。文章介绍了非线性动态系统故障诊断方法之后,还分析了对故障诊断技术有待解决的问题和发展趋势。 The research of fault diagnosis for nonlinear dynamic systems is more and more in-depth. A variety of new methods and new theory is produced. This paper introduces fault diagnosis methods based on nonlinear dynamic systems. Finally, the future problems and development trends to be studied in fault diagnosis are pointed out.
出处 《机械管理开发》 2010年第4期67-67,69,共2页 Mechanical Management and Development
关键词 解析模型 粒子滤波 隐马尔科夫 强跟踪滤波器 Analytical model PF HMM Strong tracking filter
  • 相关文献

参考文献3

  • 1FRANK P M.Fault diagnosis in dynamic systems using analytical and knowledge-based redundaney-a survey and some new results[J].Automatica,1990,26(3):459-474.
  • 2袁泽剑,郑南宁,贾新春.高斯-厄米特粒子滤波器[J].电子学报,2003,31(7):970-973. 被引量:77
  • 3葛哲学.滤波方法及其在非线性系统故障诊断中的应用研究[D].北京:中国博士学位论文全文数据库.2006:6.

二级参考文献9

  • 1南京大学数学系编.数值逼近方法[M].北京:科学出版社,1978..
  • 2G Kitagawa. Monte Carlo filter and smoother for non Gaussian nonlinear state space models [J] .Journal of Computational and Graphical Statistics, 1996,5:1 - 25.
  • 3Avitzour. A stochastic simulation Bayesian approach to multitarget tracking [A] .IEE Proceedings on Radar,Sonar and Navigation [C].UK: lEE, 1995.
  • 4M lsard, Blake. Contour tracking by stochastic propagation of conditional density [ A ]. European Conference on Computer Vision [ C ]. UK:Cambridge, 1996. 343 - 356.
  • 5I Kazuftmfi, K-Q Xiong. Gaussian filters for nonlinear filtering problems[ EB/OL]. available from http://www, researchindex, com.
  • 6S J Julier,J K Uhlmann. A new extension of the Kalman filter to nonlinear systems [ A ]. Proceedings of AeroSense: The 11th International Symposium on Aerospace/Defence Sensing, Sinmlation and Controls[ C], Florida: ISADSSC, 1997.
  • 7A Doucet. On Sequential Simtdafion-Based Methods for Bayesian Filtering [ EB/OL]. available from http://www, researchindex, com.
  • 8R Van der Merwe. A Doucet the Unscented Particle Filter, Advances in Neural Information Processing Systems [M]. M IT,2000.
  • 9N J Gordon, D J Salmond, A F M Smith. A novel approach to nonlinear and non-Ganssian Bayesian state estimation [ A ]. IEE Proceedings-F[C]. UK: IEE, 1993,.

共引文献76

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