非线性系统传感器故障诊断方法

Fault diagnosis for sensors in nonlinear system

传感器故障诊断的实施能够保证诊断系统获取实时准确信息，避免因错误的或可疑的信息造成的负效应，保证数据的正确性，提高数据的可信度． 因此，传感器的故障诊断是提高整个故障诊断系统可靠性的重要手段． 基于强跟踪滤波器提出了非线性系统传感器故障诊断的一类算法． 由于强跟踪滤波器方法是基于参数估计为主的一种方法，将系统的各种故障都归结为一种参数偏差型故障进行处理． 所以，只要非线性系统的状态及参数是可以辨识的，那么所提出的方法就可以对传感器的故障进行诊断． 从实例的结果分析可以看出该诊断算法是有效的．

The fault diagnosis for sensors can ensure the validity of data and improve the reliability of fault diagnosis system. In this paper, a diagnosis algorithm for sensors in the nonlinear system based on strong tracking filter was presented. The fault diagnosis based on strong tracking filter is a method based on parameter estimation and deals with all faults as parameter error. Therefore, the algorithm presented in this paper can diagnose the faults in sensors if the state and parameter of the nonlinear can be identified. The simulation result showed the algorithm was effective.