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现代船用柴油机智能故障诊断系统的研究
引用本文:郑华耀,凌志.现代船用柴油机智能故障诊断系统的研究[J].系统仿真技术,2010,6(2):153-157.
作者姓名:郑华耀  凌志
作者单位:上海海事大学,商船学院,上海,200135
摘    要:现代船用柴油机是机一电.液等各种子系统组成的大型机电设备,结构复杂决定了对其故障进行诊断的困难性。基于目前发展较快的船用柴油机故障诊断技术及较成熟的专家系统与人工神经网络理论,对专家系统和BP神经网络的融合方法在船用柴油机故障诊断方面的应用进行了有益的探讨,并提出了利用专家系统和BP神经网络的融合方法建立的船用柴油机神经网络故障诊断专家系统基本结构。

关 键 词:船用柴油机  智能故障诊断  专家系统  BP神经网络  LM算法

Research in the Fault Diagnosis of Marine Diesel Engine Via AI
ZHENG Huayao,LING Zhi.Research in the Fault Diagnosis of Marine Diesel Engine Via AI[J].System Simulation Technology,2010,6(2):153-157.
Authors:ZHENG Huayao  LING Zhi
Affiliation:ZHENG Huayao,LING Zhi(Merchant Marine College,Shanghai Maritime University,Shanghai 200135,China)
Abstract:Modern marine diesel engine is equipment which composed of mechanical,electric and hydraulic subsystems.The complexity of the structure determines the difficulty of its fault diagnosis.Based on the current rapid development of fault diagnosis technique of the marine diesel engine and expert system and artificial neural network theory,this paper,an integration method of back propagation(BP)neural network and expert system will be tried to use for fault diagnosis in marine diesel engine.It also put forward th...
Keywords:marine diesel engine  intelligent diagnosis  expert system  back propagation neural network  leverberg-marquardt algorithm  
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