Fault Diagnosis of the Speed Sensor of Electro-Mechanical Transmission of the High Speed Rotorcraft

Abstract

The speed sensor of the electro-mechanical transmission is the most vulnerable part, if the speed sensor breaks down, the control system of the electro-mechanical will lose efficacy. In this paper, a model-based fault diagnosis method is proposed, which uses the unscented Kalman filter to diagnose the fault of the speed sensor. First, the mathematical model of the system is established, subsequently, the measurements are estimated by the unscented Kalman filter. Moreover, the residual errors between the estimated values and measured values are obtained. According to the residual errors, the fault of the system will be diagnosed. The numerical simulations demonstrate that the model-base method can diagnose the speed sensor fault accurately and in time.