国际设备工程与管理（英文版）2006，Vol.11Issue(3)：179-183,5.
A New UKF Based Fault Detection Method in Non-linear Systems
A New UKF Based Fault Detection Method in Non-linear Systems
GE Zhe-xue 1YANG Yong-min 1HU Zheng1
作者信息
- 1. College of Mechatronics Engineering and Automation,National University of Defense Technology,Changsha,410073,P.R.China
- 折叠
摘要
Abstract
To detect the bias fault in stochastic non-linear dynamic systems, a new Unscented Kalman Filtering(UKF) based real-time recursion detection method is brought forward with the consideration of the flaws of traditional Extended Kalman Filtering(EKF). It uses the UKF as the residual generation method and the Weighted-Sum Squared Residual (WSSR) as the fault detection strategy. The simulation results are provided which demonstrate better effectiveness and a higher detection ratio of the developed methods.关键词
non-linear stochastic system/fault detection/Unscented Kalman Filtering/sensorKey words
non-linear stochastic system/fault detection/Unscented Kalman Filtering/sensor分类
管理科学引用本文复制引用
GE Zhe-xue,YANG Yong-min,HU Zheng..A New UKF Based Fault Detection Method in Non-linear Systems[J].国际设备工程与管理（英文版）,2006,11(3):179-183,5.
