基于PNN的舰船柴油机冷却系统故障预警研究  

Research on Fault Warning of Marine Diesel Engine Cooling System Based on Probabilistic Neural Network

作　　者：姚乾 刘云生 霍柏琦 郭朝有[1] 吴玥 YAO Qian;LIU Yunsheng;HUO Baiqi;GUO Chaoyou;WU Yue(College of Naval Power Engineering,Naval university of Engineering,Wuhan 430033,China;No.92942 Unit of PLA,Beijing 100161,China)

机构地区：[1]海军工程大学动力工程学院,武汉430033 [2]中国人民解放军92942部队,北京100161

出　　处：《船舶工程》2020年第S01期178-180,共3页Ship Engineering

摘　　要：针对舰船柴油机冷却系统,分析其典型故障模式,选取特征参数,基于概率神经网络(PNN)建立故障预警模型以对其进行故障预警,结合某型柴油机在某船实际运行数据完成模型的训练和验证。结果表明,采用概率神经网络可有效地实现舰船柴油机冷却系统的故障预警。According to the cooling system of marine diesel engine,the typical failure mode is analyzed,the characteristic parameters are selected,and the fault warning model is established based on the probability neural network(PNN)to fault warning,and the training and verification of the model are completed with the actual data of a diesel engine in a ship.The results show that the probabilistic neural network can effectively realize the fault warning of marine diesel engine cooling system.

关 键 词：概率神经网络 舰船柴油机 冷却系统 故障预警 

分 类 号：TH69[机械工程—机械制造及自动化]