标题:
基于神经网络的柴油机故障诊断Application of Neural Network in Diagnosis of Diesel Engine
作者:
秦恺, 任开春, 牟浩, 吴珍毅, 田力
关键字:
BP神经网络, RBF神经网络, 故障诊断BP Neural Network; RBF Neural Network; Fault Diagnostic Technology
期刊名称:
《Artificial Intelligence and Robotics Research》, Vol.2 No.1, 2013-02-21
摘要:
智能化故障诊断是现代设备诊断技术发展的必由之路，也是当前诊断技术的发展方向。本文主要以BP网络和RBF网络的基本原理，利用Matlab神经网络工具箱，对基于BP网络和RBF网络分别进行柴油机的故障诊断，并且对两种算法的诊断结果进行了对比。Intelligent fault diagnosis is the only way for the development of diagnostic techniques of modern equipment, but also the direction of development of the current diagnostic techniques. In this paper, basic principle of BP and RBF network using Matlab neural network toolbox, engine fault diagnosis based on BP network and RBF network were compared, and the diagnostic results of the two algorithms.