基于Morlet小波的船舶机舱监控系统研究  

Research on Cabin Monitoring System Based on Morlet Wavelet

作　　者：刘维亭[1] 戚峰[1] 严传续[2] 

机构地区：[1]江苏科技大学电子信息学院,江苏镇江212003 [2]中国船舶及海洋工程设计研究院,上海200011

出　　处：《船舶工程》2014年第2期70-73,共4页Ship Engineering

摘　　要：当船舶机舱设备异常或故障时,传感器采集到的数据序列中往往存在着突变信号,通过分析这些突变信号可对设备的运行状况进行有效预警。将Morlet小波应用于机舱数据分析中,能够准确识别异常数据中的突变信号,并运用Mann-kendall检验法提取其突变点。建立了预警分析处理模型,结合实际机舱样本数据验证了预警实现的可行性,结果表明基于Morlet小波的船舶机舱监控系统提取的突变点精确、可靠,预警精度高。When the equipment of the cabin ＆ abnormal or failed, mutation signal always present in the data sequence which is collected by sensor. It can make an effective pre-warning for the operation status＇ of equipment by analyzing these mutation signal. This paper applies the Morlet wavelet to the analysis of cabin data, which can identify, the mutation signal which present in abnormal data accuratelN and use the Mann-kendall method to extract the mutation point. It established an analysis processing model of pre-warning, and verified the feasibility of pre-warning implementation by combining with the actual sample data of cabin. The results show that the moonitoring system of cabin based on Morlet wavelet can extract an accurate and reliable mutation point, and make a high-precision warning.

关 键 词：船舶机舱监控系统 MORLET小波 Mann-kendall检验法 预警 

分 类 号：U664.821[交通运输工程—船舶及航道工程] TP277.2[交通运输工程—船舶与海洋工程]