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;YANG Yong-min;HU Zheng

【期刊名称】《国际设备工程与管理（英文版）》 【年(卷),期】2006(011)003

【摘要】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. 【总页数】5页(179-183)

【关键词】non-linear stochastic system;fault detection;Unscented Kalman Filtering;sensor

【作者】GE Zhe-xue;YANG Yong-min;HU Zheng 【作者单位】College Automation,National

of

Mechatronics

Engineering

and

University of of

Defense Mechatronics of

Defense

Technology,Changsha,410073,P.R.China;College Engineering

and

Automation,National

University

of

Technology,Changsha,410073,P.R.China;College Mechatronics