基于模糊神经网络的RT-flex柴油机燃油系统故障诊断  

The fault diagnosis to RT-flex engine fuel oil system based on the fuzzy neural network

作　　者：张国岭[1] 

机构地区：[1]大连海事大学轮机工程学院,辽宁大连116026

出　　处：《中国修船》2015年第2期45-49,共5页China Shiprepair

摘　　要：介绍了RT-flex 60C柴油机燃油系统的常见故障类型,针对其故障类型提出了以传统的BP神经网络为主,利用模糊理论作为补充的一种智能故障诊断方法。建立了基于模糊BP神经网络的故障诊断模型,并运用MATLAB软件进行了仿真测试研究,阐明了该方法的有效性。The common faults of the engine fuel oil system RT -flex60C were introduced in this paper. Ac- cording to these faults, an intelligent fault diagnosis method based on fuzzy theory was presented as a supplement to the traditional BP neural network. The fault diagnosis model was established based on the fuzzy BP neural network. At last, the MATLAB software is used to simulate and test, which clarified the validity of this fault diagnosis method.

关 键 词：燃油系统 模糊神经网络 故障诊断 

分 类 号：U672[交通运输工程—船舶及航道工程]