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    • 金江善，董晓露，秦慈伟，桑晓琳.基于概率神经网络的船用柴油机共轨系统限流阀故障诊断研究[J].内燃机工程,2018,39(3):81-87.
    Fault Diagnosis for Fuel Limiting Valve of Marine Diesel Engine with Common Rail System Based on Probabilistic Neural Network
    DOI：10.13949/j.cnki.nrjgc.2018.03.012
    Key Words:marine diesel engine  high pressure common rail system  fuel limiting valve  fault diagnosis  probabilistic neural network
    Author NameAffiliation
    JIN Jiangshan，DONG Xiaolu，QIN Ciwei，SANG Xiaolin 1.Shanghai Marine Diesel Engine Research Institute, Shanghai 201108, China； 2.National Engineering Laboratory for Marine and Ocean Engineering Power System, Shanghai 201108, China 
    摘要点击次数: 2827
    全文下载次数: 1941
    Abstract:The failure mode of the fuel limiting valve was analyzed based on the working principle of the high pressure common rail system（HPCRS）of marine diesel engine. A simulation model of HPCRS was built with the AMESim hydraulic simulation platform, and the characteristics of three typical fault modes of the fuel limiting valve was obtained by simulation. A probabilistic neural network was established to diagnose failure of the valve, and test and simulation data were used to complete the training and verification of the network. The results show that the probabilistic neural network can realize the fault diagnosis of the fuel limiting valve effectively.
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