大功率船用柴油机智能诊断系统的研究与实现  

Research on Intelligence System of Fault Diagnosis and Its Realization for Heavy-duty Marine Diesel Engine

作　　者：黄加亮[1] 蔡振雄[1] 翁泽民[1] 黄少竹[1] 

机构地区：[1]集美大学轮机系,福建厦门361021

出　　处：《集美大学学报（自然科学版）》2000年第3期74-78,共5页Journal of Jimei University：Natural Science

基　　金：福建省自然科学基金资助项目!(E96 0 2 2 )

摘　　要：通过对船舶柴油机故障诊断仿真系统的模型、结构原理与功能的研究 ,着重介绍了基于RBF神经网络故障智能诊断方法 .并以实例对柴油机涡轮增压系统和气缸组件与燃烧系统故障进行分析判断 。The mathematical model,structure principle and its main functions of a fault diagnosis simulating system for marine diesel engine are studied in this paper.And the trouble diagnosis approach,which based on RBF neural network,is introduced.It is of a practical importance to develop the computer aided performance fault analysis system of marine diesel engine in ocean ship with an example,based on the analysis and judgment of the turbo charging system and the burning system of cylinders of the engine.

关 键 词：船舶柴油机 诊断系统 计算机仿真 

分 类 号：U664.121[交通运输工程—船舶及航道工程]