data use analysis造句
例句與造句
- It mainly includes following aspects : in this paper , firstly implication of wavelet analysis in signal harmonic component extraction is presented in detail , and on this foundation signal given frequency band component extraction method is proposed . then we investigate frequency aliasing phenomenon , reason why frequency aliasing phenomenon is easy happened when wavelet is implied in field of motor fault diagnosis , and frequency bands where frequency aliasing phenomenon is easer happened , and put forward approved morlet wavelet analysis method which can effectively alleviates frequency aliasing phenomenon . third we set up vibration signal detected system , design experiments to obtain three groups of fault signals : eccentricity fault , mixed fault of eccentricity plus mild rub , mixed fault of eccentricity plus moderate rub , and process these data using analysis method proposed in this paper
首先對(duì)論文的選題以及相關(guān)背景進(jìn)行了探討,并對(duì)相關(guān)的小波基礎(chǔ)理論進(jìn)行了闡述,主要針對(duì)感應(yīng)電動(dòng)機(jī)的偏心故障和偏心+碰摩復(fù)合故障形式及相關(guān)的應(yīng)用算法進(jìn)行了詳細(xì)探討,主要工作內(nèi)容包括下面幾個(gè)方面:在論文中,首先對(duì)小波分析在信號(hào)的諧波分量提取中的應(yīng)用進(jìn)行了研究,在此基礎(chǔ)上,提出了信號(hào)的特定頻帶成分的提取方法;研究了小波分析的頻域混疊現(xiàn)象,探討了小波分析應(yīng)用于電機(jī)故障診斷領(lǐng)域時(shí)易發(fā)生頻域混疊現(xiàn)象的原因,以及混疊現(xiàn)象較易發(fā)生的頻帶,提出了可以有效減輕頻域混疊現(xiàn)象的改進(jìn)的morlet小波分析方法;搭建了振動(dòng)信號(hào)檢測(cè)系統(tǒng),設(shè)計(jì)實(shí)驗(yàn)采集得到三組故障數(shù)據(jù):偏心故障,偏心+輕微碰摩復(fù)合故障,偏心+中度碰摩復(fù)合故障,并對(duì)這些數(shù)據(jù)應(yīng)用本文提出的分析方法進(jìn)行信號(hào)處理,提取出的特征參數(shù)可有效區(qū)分這兩種故障形式;研究了基于matlab和labview的混合編程方法,完成了電機(jī)故障檢測(cè)系統(tǒng)的軟件開發(fā)。 - It's difficult to find data use analysis in a sentence. 用data use analysis造句挺難的