磨粒圖譜 的英文怎麼說

中文拼音 [mólìtúpǔ]
磨粒圖譜 英文
atlas of wear particle
  • 磨 : 磨動詞1 （摩擦） rub; wear 2 （研磨） grind; mull; polish 3 （折磨） grind down; wear down [out]:...
  • 粒 : Ⅰ名 （小圓珠形或小碎塊形物） small particles; grain; granule; pellet Ⅱ量詞（用於粒狀物）
  • 圖 : Ⅰ名詞1 （繪畫表現出的形象; 圖畫） picture; chart; drawing; map 2 （計劃） plan; scheme; attempt 3...
  • 譜 : Ⅰ名詞[書面語]1 （按類別或系統編成的書或冊子等） table; chart; register 2 （指導練習的格式或圖形）...
  1. Secondly, introducing the image analyzing technology with reference to the disadvantages of the traditional ferr - graph analysis technology, and with the combination of characteristic parameter optimizing filtration so as to raise a description method of debris micro - morphologic character. thirdly, with the application of mode recognition method, completing the process of debris auto - recognition based on the collected information of the debris configuration characteristics ; and conducting the diagnosis on the aero - engine wear faults according to the theory of particle tribology. fourthly, introducing information fusion technology to solve the problem that a single method can not collect enough fault premonitory information to conduct the wear fault diagnosis, hence to conduct the research and exploration in the field of comprehensive diagnosis on the aero - engine ' s multi - fault premonitory information

    本文的研究工作主要包括以下五個部分：首先，介紹航空發動機常見的磨損故障類型，研究磨損故障的失效機理，分析磨粒的產生機理、分類以及形態特徵：其次，針對傳統鐵譜分析技術的缺點，引入圖像分析技術，再結合特徵參數優化篩選，形成基於圖像的磨粒顯微形態學特徵描述方法：然後，基於提取到的磨粒形態特徵信息，應用模式識別方法完成磨粒自動識別，並根據顆粒摩擦學的基本原理進行航空發動機磨損故障的診斷與定位：再后，鑒于單一方法不能提取足夠的故障徵兆信息進行磨損故障診斷，本文引入信息融合技術，開展航空發動機多故障徵兆信息綜合診斷方法的研究與探索；最後，基於航空發動機滑油光譜分析與鐵譜分析數據，應用時序模型、灰色模型以及組合模型進行磨損故障的預測方法研究。
  2. In this text, the study was conducted to the diesel engine running - in on test bed by advanced oil analysis, surface analysis and characteristic parameters analysis of diesel engine during running - in. based on the spectrographic analysis, ferrographic analysis, particle counting, and scanning electronic microscope analysis, the extraction of lubricant analysis results have been completed by various methods as limits method, fuzzy synthesis analysis, tendency chart analysis. on the basis of information, issued from above analysis the quality comprehensive assessment model of diesel engine running - in has been established, used to assess the diesel engine running - in quality and engine test - bed running - in quality

    本文以柴油機臺架磨合過程為研究范圍，採用先進的油液分析技術，表面分析技術和柴油機性能參數分析技術相結合的方法，在採集柴油機臺架磨合階段磨合潤滑油樣和相關信息，對柴油機臺架磨合潤滑油樣的光譜分析、鐵譜分析、顆粒計數分析等技術手段獲得的各種信息進行特徵提取，結合來自於分析鐵譜和掃描電鏡的特徵圖像信息，以及柴油機性能參數中的特徵信息，用界限值分析法、模糊綜合分析法和趨勢圖分析法等多種方法，並融合其他相關的特徵信息，建立柴油機臺架磨合質量綜合評價數學模型，綜合分析柴油機臺架磨合質量，研製開發了柴油機臺架磨合質量綜合評價系統。
  3. The characteristic parameters of effective debris in a ferrograph have been calculated in the present thesis, like area, perimeter, aspect ratio and granularity, in which some methods have been adopted such as smoothing, filtering and thresholding and so on, according to tribological theories and computer technologies and digital image preprocessing

    本論文基於摩擦學原理和計算機技術，通過對鐵譜片進行數字化圖像預處理，採用對譜片圖像的平滑、濾波以及閾值二值分割等方法，計算出譜片中特徵磨粒的一些特徵參量，如面積、周長、粒度以及縱橫比等。
  4. Study on wavelet analysis of wear particle image in running - in process of marine diesel engine

    船用柴油機磨合過程鐵譜磨粒圖像的小波分析
  5. Two method and application of ferrography classification and abrasive identification

    鐵譜圖像分類及磨粒識別的兩種方法和應用
  6. As a matter of fact, three types of wear debris can be classified by the present software programmed in this research, that is, normal, spherical and cutting debris can be identified. by analyzing and processing the actual ferrograph of wear debris from a used oil sample, the experimental results show that the effects of automatic recognition are equal to those of manual recognition, and the automatization of ferrographical diagnosis has been realized simply and partly, which will be helpful to improve the intelligence of the digital ferrography system

    通過對實際油樣中制取的圖譜進行分析與處理，結果表明，本系統可以實現對三種常見的磨粒進行識別，即對正常磨粒、球狀磨粒以及切削磨粒進行分類，驗證了該軟體的自動識別效果與人工識別相當，具有一定程度的智能效果，為鐵譜儀數字化系統打下了一定的基礎。
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