一类非线性随机时滞系统的故障诊断

针对一类非线性随机时滞系统提出了一种新的故障检测算法,该方法不同于传统的故障检测方法,是通过构建一种带有Consensus滤波器的故障诊断滤波器的方法来进行故障诊断.首先采用一组传感器测量系统实际输出,然后根据传感器的测量值构建一组残差生成器,将每个残差生成器看作一个小世界网络模型中的一个节点,采用动态Consensus算法计算出残差生成器的残差,并根据残差来判断系统是否有故障发生.仿真结果表明了本文所提出方法的可行性和有效性.

Fault Diagnosis for a Class of Nonlinear Stochastic Time-delay Systems

A new fault detection algorithm for a class of nonlinear stochastic time-delay systems is presented.Different from the classical fault detection design,A fault detection filter with an output observer and a Consensus filter is constructed to fault diagnosis for a nonlinear stochastic thim-delay systems.First of all,the system outputs are measured by a group of sensors,then a group of residual generators are constructed according to the measured system outputs.By using the dynamic Consensus algorithm,treating each sensor as a node of a small world model and then the outputs of the residual generators are filtered.The system fault can be detected by using the approximated residuals.Simulations are provided to show the efficiency of the proposed approach.