船舶推进系统故障诊断和预测关键技术研究  

Research on key technologies of fault diagnosis and prediction of marine propulsion system

作　　者：冯明[1] 刘艳年 FENG Ming;LIU Yan-nian(China Oilfield Services Limited,Beijing 101149,China)

机构地区：[1]中海油田服务股份有限公司,北京101149

出　　处：《舰船科学技术》2022年第3期107-110,共4页Ship Science and Technology

摘　　要：本文介绍船舶推进系统的基本结构、分类以及核心部件,总结船舶推进系统中的推进电机模型、逆变器模型、推进器模型、船舶阻力模型和船舶推进模型,研究了基于神经网络以及支持向量机的故障诊断和预测技术。本文研究对船舶推进系统的发展具有推动作用。The basic structure,classification and core components of ship propulsion system are introduced in the paper.The propulsion motor model,inverter model,propeller model,ship resistance model and ship propulsion model in ship propulsion system are summarized.The fault diagnosis and prediction technology based on neural network and support vector machine is studied.The research of this paper plays an important role in promoting the development of ship propulsion system in China.

关 键 词：推进系统 船舶模型 故障诊断 故障预测 

分 类 号：U664.22[交通运输工程—船舶及航道工程]