發(fā)布時間：2018-02-11 02:09

  本文關(guān)鍵詞： 混沌信號 小波變換 信號處理 故障診斷　出處：《艦船科學(xué)技術(shù)》2016年02期 　論文類型：期刊論文

【摘要】：為對船舶結(jié)構(gòu)故障進(jìn)行實時預(yù)報,本文基于小波變換理論,建立混沌振動信號的離散、分解以及重構(gòu)模型,對船舶故障特征信號進(jìn)行提取。以某船舶振動信號為例,在信號兩端采用軟窗域函數(shù)重構(gòu),而信號中間位置采用硬窗域函數(shù)進(jìn)行重構(gòu),然后采用本文建立的模型進(jìn)行特征信號的辨識,得出子結(jié)構(gòu)特征信號。結(jié)果表明:本文建立的模型較為有效,且計算速度較快,能夠為工程應(yīng)用提供參考。
[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.
【作者單位】： 內(nèi)蒙古電子信息職業(yè)技術(shù)學(xué)院電子工程系;
【分類號】：U661.44
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本文編號：1501974