摘要
计算机技术与自动化技术不断进步,船舶工业的自动化、信息化水平不断提高,不仅提高了船舶工业的制造水平,也为船舶的日常维护和故障诊断等方面提供了高效的工具。动力系统作为船舶的心脏,包括主机、传动装置、主轴、变速装置和螺旋桨等部件,具有结构复杂、零部件多等特点,船舶动力系统的运行和维护一直是船舶工业的重点。本文结合传统的船舶动力系统监测装置,充分利用大数据技术,对船舶动力系统的监测和故障诊断等内容进行深入研究。
In recent years, with the continuous progress of computer technology and automation technology, the level of automation and information in the shipbuilding industry has been continuously improved, which not only improves the manufacturing level of the shipbuilding industry, but also provides an efficient tool for daily maintenance and fault diagnosis of ships. Power system, as the heart of a ship, including the main engine, transmission, spindle, transmission and propeller and other components, has the characteristics of complex structure and many parts. The operation and maintenance of ship power system has been the focus of the shipbuilding industry. In this paper, the monitoring and fault diagnosis of ship power system are deeply studied by combining the traditional monitoring device of ship power system and making full use of large data technology.
作者
周阿连
ZHOU A-lian(Information Engineering Department of Yantai Vocational College, Yantai 264000, China)
出处
《舰船科学技术》
北大核心
2018年第12X期55-57,共3页
Ship Science and Technology
关键词
大数据
动力系统
监测
故障诊断
big data
power system
monitoring
fault diagnosis
