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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 implementation of sensor fault diagnosis can ensure that the diagnostic system can obtain real-time and accurate information, avoid the negative effect caused by the wrong or suspicious information, ensure the correctness of the data and improve the credibility of the data. Therefore, the fault diagnosis of the sensor is an important means to improve the reliability of the whole fault diagnosis system. A class of algorithms for fault diagnosis of sensors in nonlinear systems is proposed based on strong tracking filter. Because the method of strong tracking filter is based on the parameter estimation as a predominant method, all kinds of faults of the system are summed up as a parameter deviation type fault. So, as long as the status and the parameters of the nonlinear system are discernable, the proposed method can diagnose the fault of the sensor. It can be seen from the result analysis of the example that the diagnostic algorithm is effective.