Fault Diagnosis of Engine Ignition System based on the Optimized BP Neural Networks by Improved Particle Swarm Algorithm

摘要

In order to improve the accuracy of fault diagnosis of engine ignition system, in this paper, adaptive mutation particle swarm optimization (AMPSO) algorithm is used to optimize the weight of BP neural network. According to the fault feature of engine ignition system, the fault diagnosis is accomplished by the optimized BP neural network. The algorithm overcomes disadvantages that slowly convergence and easy to fall into local minima of standard PSO and BP network, The simulation results show that the method gains good classification result and has a certain practicality.