鐵譜油液分析 的英文怎麼說

中文拼音 [tiěpǔyóuyèfēnxī]
鐵譜油液分析 英文
ferrographie oil analysis
  • 鐵 : Ⅰ名詞1 （金屬元素） iron （fe） 2 （指刀槍等） arms; weapon 3 （姓氏） a surname Ⅱ形容詞1 （形容...
  • 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）...
  • 油 : Ⅰ名詞1 （脂肪; 油脂） oil; fat; grease 2 （姓氏） a surname Ⅱ動詞1 （用桐油、油漆等塗抹） apply t...
  • 液 : 名詞（液體） liquid; fluid; juice
  • 分 : 分Ⅰ名詞1. （成分） component 2. （職責和權利的限度） what is within one's duty or rights Ⅱ同 「份」Ⅲ動詞[書面語] （料想） judge
  • 析 : Ⅰ動詞1. （分開; 散開） divide; separate 2. （分析） analyse; dissect; resolve Ⅱ名詞（姓氏） a surname
  1. 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。
  2. At present, ferrous spectrum technology is a kind of wear monitoring technology which is widely used in oil - hydraulic grain analysis

    摘要目前，鐵譜技術是一種廣泛使用的一項油液磨粒分析的磨損監控技術。
  3. In the background of the corporative project between zhujiang steel l. t. d and guangzhou machine sience research institute, the paper researches on the spectral analysis technology of oil. and the result is applied to judging equipment acute wear and wear place

    本文以珠江鋼鐵公司和廣州機械科學研究院合作的項目為背景，研究了油液監測技術中發射光譜數據的分析問題，並將研究成果運用到設備劇烈磨損判別和磨損部位識別的應用中。
  4. In this paper, according to the character of the ship power system and device and the factors that affect it ' s capability, such as environment, utilizing the experience of the field expert, and combined with the practice of ship manufacturing and maintenance, the application of various oil monitoring technology, namely oil quality testing, spectrometric oil analysis, ferrography analysis, and particle counting etc, is studied respectively, and the fault recognition pattern is constructed. on the basis of this, according to dempster - shafter evidence theory, the information infusion mode is constructed and the oil monitoring multi - technology system is integrated. at last, colligating the result of the information infusion system and other information of the device, such as primitive data, maintenance records, running condition etc, the oil monitoring system to ship power system & device is realized

    本文根據船舶動力裝置與設備自身的特性以及外部環境等影響因素，利用領域專家經驗和相關的知識，結合船舶修造和營運實際，對常規理化性能檢驗、油料發射光譜分析、鐵譜分析以及顆粒計數等油液檢測技術在船舶中的應用進行了分別研究，並建立了狀態識別模式；在此基礎上，利用d ? s證據組合理論，建立信息融合模型，集成了油液監控多技術系統；最後，綜合多技術信息融合系統的建議，以及設備的原始數據、維修記錄、運行狀態等信息，實現了船舶動力裝置與設備油液監控系統。
  5. The author has collected abundant feature data in this field, applied routine analysis monitoring - based, spectrometric analysis - centered and ferro graphic analysis and particulate counting - validated oil monitoring technology, extracted images and numeric feature information produced by all components as friction ones in marine diesel power equipment. and under the theory guidance of fuzzy and neural network, synthesized the feature data and other interrelated qualitative and / or quantitative feature information of lubricant in diesel engine power equipment from the perspective of lubricant ' s routine analysis spectrometric analysis, ferro graphic analysis, particulate counting technology and so on., to establish an original regulating mathematic model capable of power equipment ' s conditions, diagnosing its failure, maintaining and supervising

    本文綜合應用以常規理化檢驗為基礎、以油料光譜分析為核心，以鐵譜分析和顆粒計數為驗證的油液檢測技術，採集船舶柴油機動力裝置典型數據和相關信息，提取船舶柴油機動力裝置潤滑油中涉及的各種數字、圖像與知識類特徵信息的基礎上，應用模糊理論和神經網路理論，對船舶柴油機動力裝置潤滑油的常規理化分析、光譜分析、鐵譜分析、顆粒計數分析等技術手段獲得的特徵數據，以及其他相關定性定量特徵信息進行信息融合，建立了船舶柴油機動力裝置狀態評價、故障診斷、維修管理原始規則的數學模型。
  6. And then the applications of some general oil monitoring methods including physical chemistry analysis, ferrograph analysis, contamination degree analysis, etc, in fault diagnosis of diesel engine are analyzed, and also the relations between those methods and diesel engine ' s fault modules are discussed

    然後分析了幾種常用的油液分析方法在柴油機故障診斷中的應用，包括理化分析、鐵譜分析、污染度分析等，及各分析方法與各故障模式的關系。
  7. Aiming at four analysis measures - spectrometric, ferro graphic, routine, and particulate counting, the author has established time - sequence model based on fuzzy estimation regulations, tentatively provided analysis standard criterion for failure analysis, and proposed fuzzy systematized model for diagnosis system of lubricant monitoring expert ; employing mathematical methods of fuzzy analysis, the author has established analytical synthetic evaluation model, analyzed the reasonability of analytical measures in lubricating oil and equipment condition evaluation, and provided extraction method model of information regulations for diagnosis system of lubricant monitoring expert by means of analyzing par ameters

    針對光譜、鐵譜、常規理化、顆粒計數四種分析手段，建立了基於模糊判斷規則的時序模型，並建立了輪機油液監控專家診斷系統所需的模糊分類器模型；採用模糊分析的數學方法，建立了綜合分析評判模型，並對各分析手段在潤滑油評定和評判設備狀態時的合理性進行闡述，為輪機油液監控智能診斷專家系統提供了一種通過特徵參數分析與處理，建立的規則信息提取方法和模型。
  8. Furthermore, the author has discussed the synthetic analytical disposal model based on spectrometric, ferro graphic, routine, and particulate counting - four analytical measures and proposed oil disposal method of synthetic analysis characterized by mutual benefits and combining manifold mathematical methods, to ensure the consistency and reasonability of mathematical model and practical application demands

    同時，對基於光譜、鐵譜、常規理化、顆粒計數四種分析手段的綜合分析與處理模型展開了討論，提出多種數學方法聯合使用，優勢互補的油液監控特徵信息綜合分析處理方法，保證了數學模型建立與實際應用需求的一致性與合理性。
分享友人
分享到 Line

分享到臉書