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提出了基于预测滤波器的非线性系统的系统故障诊断的方法, 并且给出了这种方法的故障可检测性条件, 故障的误检率和漏检率, 以及故障检测时间的上界. 通过对一个二阶非线性系统进行的仿真验证了这种方法的有效性. 结果表明预测滤波器用于故障诊断时, 具有较快的速度、较低的误检和漏检率, 并且在故障发生后仍然具有对系统状态的跟踪能力. 该方法提供的实时故障估计还可以用于在线故障补偿.
A method for system fault diagnosis of nonlinear system based on predictive filter is proposed and the fault detectability conditions, the false positive rate and false negative rate of fault detection and the upper bound of fault detection time are given. The simulation of a second-order nonlinear system verifies the effectiveness of this method. The results show that the predictive filter has faster speed, lower false positives and missed false detections when used in fault diagnosis, and when the fault occurs Still has the ability to track the status of the system.The real-time fault estimation provided by this method can also be used for online fault compensation.