The Research Of High Pressure Common Rail Diesel Engine Electronic System Fault Diagnosis

Using high pressure common rail diesel engine technology can make fuel injection is stableand controllable, make the vehicle diesel engine find the solution to the engine emissions (NOXand PM) and the way of the diesel engine noise. But high pressure common rail diesel engineelectronic control system structure is complex, for maintenance personnel determine electroniccontrol system fault point is a complicated work. Application of neural network model, accordingto the change of flow of data to determine the fault point, can shorten the maintenance time,improve the efficiency of maintenance, mean while has positive significance on diesel engineemission control.In this paper,the BP and PNN were applied to the high pressure common rail diesel enginefault diagnosis. Firstly, introduces the high pressure common rail technology on diesel engineexhaust emissions control and effectiveness of the high pressure common rail electronic controlsystem of the basic composition and working principle; Secondly, it introduces the structure andalgorithm of BP and PNN neural network, and established the neural network model;Finally,taking GW2.8TC engine as experimental object, for the Great Wall in various faultsimulation engine idle speed condition, adopting KT600malfunction diagnosis fault of enginedata stream, established sample set, using two kinds of neural network model for training andsimulation, and added white noise to test the noise interference, compared the simulation resultsof two kinds of network training, it is concluded that PNN neural network is better than BP neuralnetwork with high efficiency, accurate diagnosis, noise interference test proved that the neuralnetwork is feasible to improve the fault point judge-ment.