基于Bayesian网络的大型油船货油泵透平驱动装置故障诊断  

Fault diagnosis of turbine driving device of cargo oil pumps for large oil tankers based on Bayesian network

作　　者：熊正华 余秋源 XIONG Zhenghua;YU Qiuyuan(Navigation Department,Sichuan Vocational and Technical College of Communications,Chengdu 611130,China;School of Energy and Power Engineering,Wuhan University of Technology,Wuhan 430063,China)

机构地区：[1]四川交通职业技术学院航运工程系,成都611130 [2]武汉理工大学能源与动力工程学院,武汉430063

出　　处：《上海海事大学学报》2018年第3期74-78,91,共6页Journal of Shanghai Maritime University

摘　　要：为提高大型油船货油泵透平驱动装置的安全性,保证船舶的正常航行,通过对大型油船货油泵透平驱动装置结构、工况、故障模式的分析研究,建立故障树模型,并通过Bayesian网络对模型进行分析。建立故障诊断系统,并通过案例对模型进行验证。结果表明,将Bayesian网络应用于货油泵透平驱动装置的故障诊断是合理的,模型是可靠的。In order to improve the safety of the turbine driving device of cargo oil pumps for large oil tankers and ensure the normal navigation of oil tankers,the fault tree model is established by analyzing the structure,working conditions and fault modes of the turbine driving device of cargo oil pumps for large oil tankers.The model is analyzed by Bayesian network.A fault diagnosis system is established,and the model is verified by a case study.The results show that,it is reasonable to apply Bayesian network to fault diagnosis of turbine driving device of cargo oil pumps,and the model is reliable.

关 键 词：货油泵 故障树 BAYESIAN网络 故障诊断 

分 类 号：U674.133.1[交通运输工程—船舶及航道工程] U676.42[交通运输工程—船舶与海洋工程]