Title :
A new real-time sensor drift performance degradation monitor method for non-linear systems based on particle filter
Author :
Bin, Liu ; Zhengguo, Xu
Author_Institution :
Dept. of Control Sci. & Eng., Zhejiang Univ., Hangzhou, China
Abstract :
While a sensor is in service, its measurement value would drift, and the drift value would increase with time increasing. Tailored to the performance degradation of a sensor in a non-linear system, this paper proposes a method, which is based on modified particle filtering algorithm, to monitor sensor´s performance degradation in real time and further estimate system state. The proposed method could detect and track degradation process of a sensor in a dynamic system, but also provide safeguard for the operation of dynamic system. Computer simulations of three-vessel water tank system testify the effectiveness of the proposed method.
Keywords :
control engineering computing; nonlinear control systems; particle filtering (numerical methods); sensors; state estimation; computer simulation; drift value; modified particle filtering algorithm; nonlinear systems; performance degradation monitoring method; sensor degradation process; sensor drift performance degradation; system state estimation; three-vessel water tank system; Degradation; Electronic mail; Laboratories; Monitoring; Real-time systems; Reliability; Robot sensing systems; drift; dynamic system; performance degradation; sensor;
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
Print_ISBN :
978-1-4673-2581-3