首页 | 本学科首页   官方微博 | 高级检索  
     

大功率船用柴油机智能诊断系统的研究与实现
引用本文:黄加亮,蔡振雄,翁泽民. 大功率船用柴油机智能诊断系统的研究与实现[J]. 集美大学学报(自然科学版), 2000, 5(3): 74-78
作者姓名:黄加亮  蔡振雄  翁泽民
作者单位:集美大学轮机系!福建厦门361021
基金项目: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,并以实例对涡轮增压系统和气缸组件与燃料系统故障进行分析判断,指出开发实船柴油故障诊断的计算机辅助分析系统具有指导意义。

关 键 词:船舶柴油机 诊断系统 计算机仿真

Research on Intelligence System of Fault Diagnosis and Its Realization for Heavy-duty Marine Diesel Engine
HUANG Jia liang,CAI Zhen xiong,WENG Ze min,HUANG Shao zhu. Research on Intelligence System of Fault Diagnosis and Its Realization for Heavy-duty Marine Diesel Engine[J]. the Editorial Board of Jimei University(Natural Science), 2000, 5(3): 74-78
Authors:HUANG Jia liang  CAI Zhen xiong  WENG Ze min  HUANG Shao zhu
Abstract: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.
Keywords:marine engine  diagnosis system  computer simulation  RBF neural network
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号