診斷模型 的英文怎麼說

中文拼音 [zhěnduànmóxíng]
診斷模型 英文
diagnostic model
  • 診 : 動詞（診察） examine （a patient）
  • 斷 : Ⅰ動詞1 （分成段） break; snap 2 （斷絕;隔斷） break off; cut off; stop 3 （戒除） give up; abstai...
  • 模 : 模名詞1. （模子） mould; pattern; matrix 2. （姓氏） a surname
  • 診斷 : diagnose; diagnosis; diacrisis
  • 模型 : 1 （仿製實物） model; pattern 2 （制砂型的工具） mould; pattern3 （模子） model set; mould patter...
  1. Based on the conclusions studied by other, the paper discusses and builds the model of condenser fault diagnosis by applying fuzzy math and ann

    本文在總結已有研究成果的基礎上，運用模糊數學方法及神經網路技術，討論並建立了凝汽器故障診斷模型。
  2. One fault diagnosis model and corresponding algorithm was constructed based on neural network and evidence theory for taking a step forward diagnosis correct rate, which can cut down the imput dimension of neural network 、 improve classification ability 、 decrease the error classify rate of diagnosis system. then, the feasibility and effectiveness of this method was manifested by specific diagnosis example

    為進一步提高診斷準確率，本文基於神經網路和證據理論，構建了基於決策層信息融合的故障診斷模型及其相應演算法，目的在於降低神經網路的輸入空間，提高其分類能力，降低診斷系統的誤分類，診斷實例表明了這種方法的可行性和有效性。
  3. In this dissertation, towards different states of tongue, we define different tongue pathology areas, propose relevant sub - images selection methods and gets research objects ; according different states of tongue, this dissertation compares different ways to extract texture features and classifies states of tongue well using the most appropriate features, making preparation for the auto - diagnosis of symptoms and diseases ; the dissertation sets up a texture - based symptom diagnosis model and diagnoses asthenia and sthenia syndrome and external and internal syndrome more accurately ; moreover, based on expert knowledge, this dissertation uses texture, colors and shape information of tongue images, to survey diagnosis of some diseases. first, the red prickles classification is studied in the dissertation

    本文針對不同的舌象，確定了不同的舌病理區域，提出了相應的舌子圖像選取方法，明確了紋理特徵的研究對象;針對不同的舌象，比較了多種紋理特徵提取方法，確立了每種舌象的最佳紋理特徵，較準確的分類了各類舌象，為證候和疾病的自動化診斷做好了準備;建立了基於紋理特徵的證候診斷模型，應用該模型，較準確的診斷了虛實證候和表裡證候;此外，基於專家知識，本文融合了舌圖像的紋理、顏色和形狀信息對部分疾病的自動診斷進行了研究並取得了較好的結果。
  4. We illustrate the wavelet package analysis that can obtain the time - frequency distribution figure of noise signal, which can be used to define gray - image. through image - average, we can get the standard time - frequency distribution images of different main bearing gap. based on that, a main bearing wear fault diagnosis model using image matching is set up

    然後對圖像進行平均，得到主軸承在不同間隙狀態下的「標準」時頻分布圖，建立了柴油機主軸承間隙圖像匹配的故障診斷模型，匹配時所用的參數為兩幅圖像之間的歐氏距離。
  5. The features of aircraft flight line maintenance expert system were analyzed in this dissertation. decision fault tree ( dft ) based binary decision diagram ( bdd ) was presented, which applied in the expert system in combination with case based reasoning ( cbr )

    本文分析了飛機航線維護排故專家系統的特點，提出了基於二元決策圖的判定故障樹方法，並將該方法和基於事例推理的方法應用於專家系統的開發，給出了這兩種方法的集成診斷模型。
  6. A fuzzy probability reasoning model for transformer faults diagnosis is rebuilded based on probability reasoning and fuzzy theory. a ga resolvent for the model is put forward from the point of nonlinear combinatorial optimization view

    本文在概率因果推理模型的基礎上，引入模糊理論，重新建立了模糊概率因果變壓器故障診斷模型，並從非線性組合優化的角度提出了該模型的遺傳演算法求解策略。
  7. A model for enterprise diagnosis based on intuitionistic fuzzy sets

    一種基於直覺模糊集合的企業診斷模型
  8. To overcome the shortcomings of the traditional fuzzy algorithm, including complex management of diagnosis system, high difficulty in improvement and being unfavorable to accumulate experiences, the improved fuzzy algorithm is introduced to the state diagnosis for complex system, the model of state diagnosis for complex system based on the improved fuzzy algorithm is established, and a sample case is adopted to contrast and verify the state diagnosis model based on the traditional fuzzy algorithm and the state diagnosis model for complex system based on the improved fuzzy algorithm respectively, which indicates that although the latter is inferior in the speed of diagnosis, it has the significant advantages in simple management, easiness in improvement, accurate diagnosis, abundant diagnosis information and wide applications, so that its comprehensive performance is far beyond that of the diagnosis model based on traditional fuzzy algorithm

    摘要為了克服傳統模糊演算法的診斷系統建模復雜、改進難度大、不利於經驗積累困難的缺點，在復雜系統的狀態診斷中引入了改進的模糊演算法，創建了基於改進模糊演算法的復雜系統狀態診斷模型，並以一個實例分別比較驗證了基於傳統模糊演算法的狀態診斷模型與基於改進模糊演算法的復雜系統狀態診斷模型，結果表明基於改進模糊演算法的復雜系統狀態診斷模型雖然在診斷速度方面稍遜一籌，但具有建模簡單、模型改進容易、診斷準確、診斷信息豐富、適用性廣泛等顯著優點，其綜合性能大大優于基於傳統模糊演算法的診斷模型。
  9. A diagnosis model based on case has been built according to the method that domain expert solve problems on the basis of the case - based reasoning cycle

    模擬領域專家處理故障的方式，建立了一個基於案例的故障診斷模型。研究了案例的檢索策略。
  10. The modeling of logic fault diagnosis problem based on petri net is the emphasis of the dissertation

    2 、基於petri網的邏輯故障診斷模型是本文的核心。
  11. Also the thesis improves the diagnosis model of fuzzy neural networks, and establishes the composite sub - nets based on rbf ( radial basis function )

    通過改進模糊神經網路診斷模型，建立rbf徑向基函數組合子網路診斷系統，增強對故障分類的能力。
  12. In accordance with the technological difficulties encountered in the process of insulation supervision based on the dissolved gases analysis ( dga ), several kinds of model and method are presented to improve the reliability and precision of fault diagnosis of the power transformer. main research content includes : by deeply studying the common transformer faults diagnosing methods, such as three - ratio methods and improved electrical committee agreements, several shortcomings such as uncertainness judgment when the fault reasons, phenomenon and principles come out together while can not consistent to each other etc. for this reason, the old methods can not fully meet the need to engineering practical application. considering fuzzy relationship matrix can fully represents the causality between fault symptoms and fault types, when diagnosing complex equipments with multiple symptoms and fault causes such as power transformer, a synthetic fuzzy diagnosing model is firstly proposed to diagnose transformer ' s insulation faults based on dga in this paper

    本文針對應用油中溶解氣體分析方法進行變壓器絕緣監督時所遇到的主要技術難點，提出了提高變壓器故障診斷的準確性、可靠性的幾種模診斷方法，主要研究內容有：通過對判斷變壓器故障常用的三比值法和改良電協研法的深入分析，其診斷準確率較高，但對故障原因、故障現象和故障機理間同時存在不確定性和模糊性的變壓器等電氣設備的故障診斷，難于滿足工程應用的需要；在處理變壓器等結構復雜設備的多癥狀、多原因故障診斷時，模糊關系矩陣可以全面反映這種癥狀與故障類型間的因果關系，進而提出了變壓器故障診斷的模糊綜合診斷模型；同時作者還深入分析了模糊運算元的特性；針對常用的模糊評判結果的模糊集的集化方法的不足性，提出了將模糊綜合診斷與模糊規則推理結合起來進行故障診斷的方法，能達到較好的效果。
  13. The function of software and user interface are designed in details this thesis examines the development existing circumstance and future about condition - based maintenance internally compared with externally. on the based of establishing rotating machinery malfunction diagnosis model, familiar malfunctions on high pressure getting rid of squama are analyzed and instanced

    本文對比分析了預測維修體制在國內外企業中的應用現狀和發展前景；在建立了旋轉機械故障診斷模型的基礎之上，對高壓水泵的常見故障類型作了分析。
  14. System diagnosis and componentsdiagnosis can query the fault cause or fault place according to the visible fault phenomenaand can query the solving methods according to the cause and the pla ce. expert systemdiagnosis adopts man - computer dialog piatform, producing method, fault tree analysis andforward chaining. the user of hydrauiic equipment can eliminate the malfunction by thediagnosis of the software according to the visible phenomena

    其中系統診斷和元件診斷能夠根據所需診斷系統（或元件）的故障現象診斷出可能的故障原因或部位，再根據找到的部位查得故障的排除方法；專家系統診斷採用了人機互動式界面、產生式規則表示法、故障樹的診斷模型、深度優先搜索法和正向推理策略。
  15. Brief report on research works of two papers

    基於神經網路的發動機故障診斷模型研究
  16. For real - time monitoring the each work status of fuel cell, on time discovering every kind of equipment failure of, fuel cell of condition monitoring and fault diagnosis system adopts the usb bus system to set up the hardware platform, regarding neural network theory as foundation, creates fault diagnosis model and algorithm, and joining together both of the advantage, guarantees the safe and dependable running of fuel cell system

    為了能夠實時監測燃料電池的各個工作狀態、及時發現各種可能出現的設備故障，燃料電池狀態監測與故障診斷系統採用usb總線系統搭建硬體平臺，以神經網路理論為基礎，建立故障診斷模型與演算法，把兩者的優點充分結合，保證了燃料電池系統安全可靠的運行。
  17. Study on self - adaptive diagnosing model based on artificial neural network

    基於人工神經網路的自適應疾病診斷模型研究
  18. In this paper, overall design philosophy and measure while diagonose the prefabricated substation using ann theory are defined, including the definition of fuzzy expression method for fault symptoms, the definition of typical fault collection and typical fault sign collection, the definition of the format of the learning sample and test sample, and the definition of fault diagnosis model formed in coordination by multi ann whose diagnosis principle are also described. a practical software using visual c + + 6. 0 and access2000 as developing instrument are developed on the basis of diagnosis principle put forward by this paper

    本文確定了應用神經網路理論對箱式變電站進行故障診斷的總體設計思想和步驟：確定了監測數據的預處理模糊化方法；建立了箱式變電站典型故障集和典型故障徵兆集；確定了學習樣本的格式，完成了學習樣本的生成；確定了神經網路結構和參數，並對學習樣本應用本文的學習演算法進行了學習訓練，使誤差控制在給定范圍內；以集散監測診斷系統的思想，提出了由多個神經網路協同構成的多神經網路故障診斷模型，並論述了其診斷原理。
  19. Then, it represents the method of building the equipment fault hierarchical model correlative with function hierarchical model, and gives the base search rule of the diagnosis reasoning process, it is available for enhance the efficiency of the fault diagnosis of complicated eq1lipnieilt

    最後，結合工程實踐，對于裝備層次診斷模型的建立，提出了將裝備功能結構層次模型與故障層次模型進行相關建立的方法，並給出了診斷推理過程的基本搜索策略，對于提高復雜裝備的故障診斷效率具有一定的工程應用價值。
  20. Paper also introduces " locomotive diesel state monitoring and analyses system based on transient speed mode ? " which is appliance of power diesel in - line monitoring and analysis systemin railroad locomotive

    本文最後介紹了「基於瞬時轉速診斷模型的機車柴油機狀態監測與分析系統」 ，該系統是電站柴油機在線監測與分析系統在鐵路機車領域的應用實例。
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