Fault Forecast Method Based on Particle Filter

摘要：

Fault prediction based on particle filter approach is designed for dead reckoning investigation hybrid system,it utilizes a group of weighted particles to evaluate the system state,meanwhile,the fault state distribution and fault probability density distribution are calculated.Therefore,we can predict the fault probability and the fault type,furthermore,the broken-down time step can be assessed.The experimental results show that fault prediction based on particle filter can estimate the fault type for dead reckoning investigation hybrid system effectively.

作者: ZHOU Kaijun YU Lingli

作者单位: School of Information Science and Engineering,Central South University,Changsha 410083,P.R.China Sch School of Information Science and Engineering,Central South University,Changsha 410083,P.R.China

会议类型: 国际会议

会议名称: The 30th Chinese Control Conference(第三十届中国控制会议)

会议地点: 烟台

会议语种:英文

页码: 1-6

在线出版日期: 2011-07-01（万方平台首次上网日期，不代表论文的发表时间）