A Fault Diagnostic Method for EFI Engine Based on MATLAB Software Package

At present, the diagnostic instruments used widely here and abroad is not entire, which can not diagnose the mechanical fault without fault code. In order to solve this problem, this paper presents a method for fault diagnosis of electronic fuel injection(EFI) engine using radial basis function(RBF) neural network. By connecting MATLAB software package and ACCESS database, a fault diagnosis program is set up and a fault without code can be found. Meanwhile, the comparison has been done between RBF network and back propagation(BP) network. The simulation experimental results show that the RBF model is more feasible and successful than BP model and makes fault diagnosis easier.