舰船电子工程2019，Vol.39Issue(3)：133-136,4.DOI:10.3969/j.issn.1672-9730.2019.03.031
基于PNN的船舶用柴油机高压系统节流阀故障诊断分析
Fault Diagnosis for Fuel Limiting Valve of Marine Diesel Engine Common Rail System Based on Probabilistic Neural Network
孙立民1
作者信息
- 1. 烟台汽车工程职业学院 烟台 265500
- 折叠
摘要
Abstract
According to the high pressure system in ship diesel engine throttle valve failure mode,by using the AMESim simu?lation platform the common rail pressure data obtained by the test is denoised,and is used as a model input. According to the detec?tion of accumulator cavity pressure,the simulation model is calibrated. A probabilistic neural network model is constructed and the network output is the actual operation state of the throttle valve. From test bed frame to the throttle valve under normal working state data collection,choice of different smooth factors to train and verify that the network model,in the case of smoothing factor is lower than 0.5,the diagnostic accuracy rate can reach more than 95%,and it can completely satisfy the requirements of the throttle valve fault diagnosis.关键词
船用柴油机/高压系统/节流阀/故障诊断/概率神经网络Key words
marine diesel engine/high pressure common rail system/fuel limiting valve/fault diagnosis/probabilistic neu⁃ral network分类
交通工程引用本文复制引用
孙立民..基于PNN的船舶用柴油机高压系统节流阀故障诊断分析[J].舰船电子工程,2019,39(3):133-136,4.
