混疊效應 的英文怎麼說
中文拼音 [húndiěxiàoyīng]
混疊效應
英文
aliasing effect-
The results indicated that in the precondition of eligible durability, 11 % of fa content and 7 % of stone powder content had the composition effects, which made concretes have best workability and strength, and restrain the shrinkage to a degree
結果表明，在耐久性滿足要求的前提下， 11 %摻量的粉煤灰與7 %含量的石粉產生了良好的復合疊加效應，使混凝土獲得了最佳和易性和強度值，且對干縮起到了一定的抑制作用。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
首先對論文的選題以及相關背景進行了探討，並對相關的小波基礎理論進行了闡述，主要針對感應電動機的偏心故障和偏心+碰摩復合故障形式及相關的應用演算法進行了詳細探討，主要工作內容包括下面幾個方面:在論文中，首先對小波分析在信號的諧波分量提取中的應用進行了研究，在此基礎上，提出了信號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象，探討了小波分析應用於電機故障診斷領域時易發生頻域混疊現象的原因，以及混疊現象較易發生的頻帶，提出了可以有效減輕頻域混疊現象的改進的morlet小波分析方法;搭建了振動信號檢測系統，設計實驗採集得到三組故障數據:偏心故障，偏心+輕微碰摩復合故障，偏心+中度碰摩復合故障，並對這些數據應用本文提出的分析方法進行信號處理，提取出的特徵參數可有效區分這兩種故障形式;研究了基於matlab和labview的混合編程方法，完成了電機故障檢測系統的軟體開發。The process of reducing the visibility of aliasing by using gray scale pixel values to smooth the appearance of jagged edges
用有灰度的象素值去平滑鋸齒形邊緣的出現，以減小混疊效應的可見性的處理技術。 ）From theoretical analysis, we know the existing demodulation methods have limitations as following : one is that the subtraction of the two signals frequencies will display as the result of demodulation when we demodulate two time - domain adding signals without modulating information ( fault information ) ; the other one is that aliasing phenomenon will occur as a result of getting absolute value, detection or square in the process of generalized demodulation analysis, such phenomenon will result in some superfluous frequency composition on the frequency spectrum, which will puzzle the detec tion of mechanical vibration. if the sampling frequency is selected from a suitable range, the aliasing phenomenon will be avoided ; the last one is that aliasing frequencies will be produced in zoom demodulation analysis because this algorithm cannot employ digital low - pass filtering to avert the folding frequencies of higher harmonics in the process of zoom sub - sampling
現有的解調分析方法存在以下三種局限性：將不包括調制信息（故障信息）的兩時域相加信號，也以其頻率之差作為解調信號而解出；廣義檢波濾波解調分析中，由於取絕對值、檢波或平方過程可能產生混頻效應，在解調譜中表現為無法分析的頻率成分，並由此推導出避免這種混頻現象的采樣頻率的選取范圍，從根本上避免此類誤診斷的產生；幾種細化解調分析新演算法中，因為無法在細化分析的選抽時進行數字低通濾波，有可能會出現調制頻率的高次諧波成分發生頻率混疊而反折到低頻部分的現象。It is reported in this paper that by using the absorption spectrum of the interfering component as the denominator factor, the first derivative ratio spectra of the component mixture can be obtained, and the inter ference of one of the components can thus be eliminated
利用混合物的波譜除以干擾組分的波譜得比值波譜，對波長求導得比值導數波譜，由此可消除干擾組分的吸光度疊加效應。The reinforced concrete structures in the relevant projects in the western china are to be damaged from the erosion of salt ions with high concentration and the multi - action of both the freeze - thaw and the dry - wet cycles, and then the normal concrete therein is often heavily damaged from the superimposed effect of all these damages
摘要在我國西部地區工程中鋼筋混凝土建築物要經受高濃度鹽離子侵蝕、凍融和干濕交替的多重作用的破壞，會表現出損傷超疊加效應，使普通混凝土在短期內即遭嚴重破壞。The other is that when the extending areas of the samples overcross, wrong classification of the samples will occur. as for the first problem a genetic algorithm is used to improve the process of the best parameters " finding. and as for the latter a kind of improved hamming net which uses supervised and unsupervised learning method is employed
針對模糊hamming網路在應用中存在的參數調整效率低下以及難以保證參數最優的問題，提出了應用遺傳演算法進行參數調整的改進方法；針對該網路在樣本離散范圍發生交疊情況下導致歸類錯誤的問題，研究了對于不同模式採用不同的警戒參數的有監督無監督混合學習的改進演算法。分享友人