船舶混沌噪声特性提取方法研究

发布时间：2018-02-11 02:09

  本文关键词： 混沌信号 小波变换 信号处理 故障诊断　出处：《舰船科学技术》2016年02期 　论文类型：期刊论文

【摘要】：为对船舶结构故障进行实时预报,本文基于小波变换理论,建立混沌振动信号的离散、分解以及重构模型,对船舶故障特征信号进行提取。以某船舶振动信号为例,在信号两端采用软窗域函数重构,而信号中间位置采用硬窗域函数进行重构,然后采用本文建立的模型进行特征信号的辨识,得出子结构特征信号。结果表明:本文建立的模型较为有效,且计算速度较快,能够为工程应用提供参考。
[Abstract]:In order to predict ship structural faults in real time, the discrete, decomposing and reconstruction models of chaotic vibration signals are established based on wavelet transform theory, and the characteristic signals of ship faults are extracted. A ship vibration signal is taken as an example. The soft window domain function is used at the two ends of the signal, while the middle position of the signal is reconstructed by the hard window domain function, and then the characteristic signal is identified by the model established in this paper. The results show that the model established in this paper is more effective, and the calculation speed is faster, which can provide a reference for engineering application.
【作者单位】： 内蒙古电子信息职业技术学院电子工程系;
【分类号】：U661.44
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本文编号：1501974