Sensor fault diagnosis study of UUV based on the grey forecast model

The overall reliability of the underwater unmanned vehicle(UUV) system is improved. This paper mainly study sensor fault diagnosis of UUV. On the basis of analyzing the abnormal sensor model of UUV, put forward the corresponding method of fault diagnosis. The improved gray model GM(2,1) theory is introduced into the fault diagnosis of underwater unmanned vehicle. On the sensor sample date sequence gray model is established. Through analyzing the actual output signal and the output signal of this model, detect sensor fault in real time.