RBF网络在发动机故障诊断中的应用

Application of Radial Basis Function Network in the Fault Diagnosis of Engine

介绍了RBF网络模型,分析了其特点,并探讨了基于RBF网络的发动机故障诊断方法。通过MATLAB进行仿真试验,结果表明RBF神经网络训练速度比BP算法快,是解决故障诊断问题的有效途径。

The paper introduces the model of Radial Basis Function Neural Network , analyses the characteristic and discusses the method of fault diagnosis of engine based on RBF network. Simulating through the MATLAB,the result shows that Radial Basis Function Neural Network has good training speed than BP algorithm, and meanwhile it is also an available approach to solve fault diagnosis problems.