数据挖掘技术的舰船起锚机液压系统故障分析  

Fault analysis of ship windlass hydraulic system based on Data Mining Technology

作　　者：李海涛[1] 张良贵[1] LI Hai-tao;ZHANG Liang-gui(Hebei Institute of Mechanical and Electronical Technology,Xingtai 054000,China)

机构地区：[1]河北机电职业技术学院,河北邢台054000

出　　处：《舰船科学技术》2020年第4期217-219,共3页Ship Science and Technology

摘　　要：舰船应用对起锚机液压系统的性能提出了更高要求,针对当前舰船起锚机液压系统故障分析过程中存在的速度慢、工作过程复杂、误差等局限性,以提高舰船起锚机液压系统故障分析精度为目标,设计了数据挖掘技术的舰船起锚机液压系统故障分析方法。首先采用多传感器对舰船起锚机液压系统故障信息进行采集,并采用主成分分析法提取舰船起锚机液压系统故障分析特征,然后引入数据挖掘技术建立舰船起锚机液压系统故障分析模型,最后在Matlab 2018平台上与传统舰船起锚机液压系统故障分析方法进行了仿真对比测试。数据挖掘技术的舰船起锚机液压系统故障分析精度超过94%,而传统方法的舰船起锚机液压系统故障分析精度低于88%,同时舰船起锚机液压系统故障分析速度也得到了改善。The application of warship brings forward higher performance to the hydraulic system of the windlass.Aiming at the limitation of slow speed,complex working process and error in the fault analysis of the hydraulic system of the warship windlass,aiming at improving the accuracy of the fault analysis of the hydraulic system of the warship windlass,a fault analysis method of the hydraulic system of the warship windlass based on data mining technology is designed.Firstly,multi-sensor is used to collect the fault information of ship windlass hydraulic system,and principal component analysis is used to extract the fault analysis features of ship windlass hydraulic system.Then,data mining technology is introduced to establish the fault analysis model of ship windlass hydraulic system.Finally,a simulation comparison is made between MATLAB 2018 and the traditional fault analysis method of ship windlass hydraulic system the test results show that the accuracy of data mining is more than 94%,while the accuracy of comparative method is less than 88%.At the same time,the speed of fault analysis of ship windlass hydraulic system is also improved.

关 键 词：舰船 起锚机液压系统 故障分析 仿真测试 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]