波紋組織 的英文怎麼說

中文拼音 [bōwénzǔzhī]
波紋組織 英文
displaced stitch
  • 波 : Ⅰ名詞1 （波浪） wave 2 [物理學] （振動傳播的過程） wave 3 （意外變化） an unexpected turn of even...
  • 紋 : 名詞（花紋; 紋縷兒） lines; veins; grain
  • 組 : Ⅰ名詞1 （由不多的人員組成的單位） group 2 （姓氏） a surname Ⅱ動詞（組織） organize; form Ⅲ量詞（...
  • 織 : 動詞（編織） knit; weave
  • 波紋 : corrugation; flow mark; moire; cockles; dimple; washmarking; [電工] ripple
  • 組織 : 1 （組織系統） organization; organized system 2 （組成） organize; form 3 [紡織] weave 4 [醫學] [...
  1. At one time complex structure and area of weariness crack ( including whole suspension hollow axis of swivel, half suspension adopted axletree, substituting holistic grinding steel wheels for wheel - hoop compounded wheels, different wheel - axletree structure of different locomotives, different transmission chamfer machining step of axletresses and driven traction gear etc. ) centralizing make wave clutter and repeat to disturb recognition of real fault wave

    同時，由於全懸掛空心軸、半懸掛抱軸承等復雜結構車軸的使用和整體碾鋼輪陸續替代輪箍組裝式車輪，各型機車輪軸結構不同，車軸加工臺階和過渡圓角不同，從動牽引齒輪與車軸採用過盈裝配等，在這些結構復雜且疲勞裂紋產生集中的區域，探傷時極易發生波形交織和重復，難以識別真正缺陷波。
  2. A lot of oil tanker failure was reported in recent years, which attracted much attention of navigation industry. after investigation and analysis, fatigue crack was suspected to be one of main causes. the fatigue cracks were discovered mostly on the side longitudinals at the connections to transverse bulkheads or transverse webs

    近年來，世界上有大量的油輪在海上失事，這一現象引起了各國航運界的高度重視，通過組織力量對油輪失事原因進行調查分析，認為一個重要的原因是艙內肋骨與上下翼艙的連接處的疲勞強度不足，導致艙室進水，然後波紋橫艙壁破壞導致進水過多而沉沒。
  3. This scheme covers techniques of texture analysis, synthesis, texture mapping and 3 - d knitting pattern analysis of fabric. we discuss here the techniques related to texture. texture analysis uses frequend - domain, wavelet or mrf to get feature distribution of texture image, classes of texel and the rule of placement

    本實現方案涉及到紋理分析、綜合，紋理映射，提花織物三維組織分析等技術，論文主要對與紋理相關的技術作一定的討論，紋理分析運用頻譜、小波分析或馬可夫隨機場建模紋理圖像在空間上的分佈特徵，紋理基元的種類和其分佈。
  4. In the process of comparison, it is found that the new vector used by this paper is suited to be taken as statistic feature of sar area objects. artificial neural network ( ann ) is always used in image classing. this thesis used bp network, rbf network and sofm network to analyze sar area objects, with gray level, average and wavelet analysis based features as the inputs

    人工神經網路是模式識別的重要工具，本文分別採用bp神經網路、徑向基函數（ rbf ）神經網路、自組織特徵映射神經網路對sar圖像面目標進行了分析，選用灰度值、均值、小波紋理特徵等不同的特徵作為輸入矢量，得到了高的分類精度。
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