Research on Wear Status of Diesel Engine Cylinder Based on BP Neural Network and Instantaneous Speed

Abstract

The instantaneous speed contains a large amount of diesel engine operating state information. This paper establishes the diesel engine dynamics model to obtain the instantaneous speed curve under different cylinder wear states, and extracts its four dimensionless parameters, then establishes the cylinder wear state model based on BP neural network using the simulated fault signal, and the actual vehicle test data is used to verify. The results show that the cylinder wear analysis model based on BP neural network can accurately determine the cylinder wear state.