Fault Diagnosis And Prevention Of Flow Sensor For Fuel Supply System

The fuel supply system plays an important role in combustion engines, and thus a higher reliability is required. A novel fault diagnosis and prevention strategy are presented in this paper. The diagnosis model is built up based on deviation calculation by introducing the flow sensor principle, which take reference flow rate and measured flow rate as criteria. The estimation function between the fuel flow rate, outlet pressure and pump rotating speed is obtained, which could be used to estimate the fuel flow rate. The estimation method can provide the flow rate to the entire system and then keep the fuel supply system working reliably even when the sensors are in failure. Experimental results show the effectiveness of the proposed strategy in terms of accurate fault detection and robust prevention in the fuel supply system.