故障屬性 的英文怎麼說

中文拼音 [gùzhàngzhǔxìng]
故障屬性 英文
failure properties
  • 故 : Ⅰ名詞1 （事故） event; incident; happening; accident 2 （原因） cause; reason 3 （朋友; 友情） fr...
  • 障 : Ⅰ動詞（阻隔; 遮擋） block; hinder; obstruct Ⅱ名詞（遮擋物） barrier; block; obstacle
  • 屬 : 屬名詞1 （類別） category 2 [生物學] （生物分類系統上所用的等級之一） genus 3 （家屬; 親屬） fami...
  • 性 : Ⅰ名詞1 （性格） nature; character; disposition 2 （性能; 性質） property; quality 3 （性別） sex ...
  • 故障 : hitch; breakdown; stoppage; fault; faulting; accident; blunder; bug; conk; failure; impairment; i...
  1. In order to verify the effectiveness of steep - front impulse voltage test in finding the internal faults of composite insulator, some insulators with faults, including conductive channel, semi - conductive channels, airy channel, partial little air bubble that occur separately at different place, are modeled. steep - front wave impulse voltage test is made for these faulty insulator and normal insulator

    為了檢驗陡波試驗對于發現合成絕緣子內部故障的有效性，分別模擬了絕緣子內部不同部位有導電性、半導電性通道，小氣泡，金屬雜質，長氣泡以及芯棒與護套間不粘連故障的絕緣子，並從三維靜電場計算和用不同陡度的陡波試驗兩個方面進行了驗證。
  2. In a long term, management of metal structure is a difficult point in the management of harbour equipment. how to increase the scientific reasonability of these cranes, and to prolong their lives, is one important harbour of state supervision and fault diagnosis in harbour machinery

    長期以來，裝卸型門機的金屬結構的管理一直是港口設備管理的難點，如何有效地提高這些裝卸型門機使用的科學性和合理性，有效延長其使用壽命是當前港口機械結構狀態檢測和故障診斷的重要內容。
  3. Although the possibility is remote3, diode failure4 might eventually cause a small section of bare wire to contact the metal cabinet

    雖然這種可能性很小，但二極體故障可能最終導致一小部分裸線與金屬盒接觸。
  4. In connection with the difference and distribution characteristic of the samples in sample space rs based on dga, a new self - adapted weight fuzzy omean clustering model of fault diagnosis of the power transformer based on the potential function is proposed. meanwhile, from the aspect of geometry characteristic of fc - divided in s dimension sample space, a method is proposed for the purpose of getting an effective adjacent radius, adaptive cluster number c and original cluster center of x sample set. for the diagnosis sample x, the property measure and diagnosis rule are proposed, which under the condition of potential density function that determine c number of optimal fuzzy cluster p1

    根據以變壓器dga數據為特徵量的樣本空間各樣本差異特性以及樣本在空間r ~ s的分佈特性，首次提出了基於勢函數自適應加權的變壓器絕緣故障診斷的模糊c -均值聚類模型；同時，從s維樣本空間的f ~ c -劃分幾何特性出發，提出了一種求取樣本集的類勢有效鄰域半徑和自適應求取聚類數和聚類中心初值的方法；對一個待診斷樣本，設計了基於類勢密度函數意義下的屬性測度和診斷準則。
  5. For the severe limitation that the selectivity of transient current protection will lose when the fault with small resistance or without resistance takes place at the end of transmission line, the basic reason for the selectivity loss of transient current protection was investigated

    摘要針對保護出口處發生金屬性或小電阻短路故障時，暫態電流保護完全失去選擇性的嚴重缺陷，利用時域分析方法，進行了詳細的故障暫態分析和模擬研究。
  6. This layout can stop the internal arc fault expansion ; can avoid harmful moisture, small animal and dusty interferences. it also has good perfomiance and high reliability. because the heat cannot transmit to the outside of the bus room, a good operation environment for the low space can be obtained

    主母線室置於箱體頂部一個單獨的金屬封閉的間隔內，並與10kv開關室、儀表室等間隔相互獨立，為同類產品首創；這種結構可以防止內部電弧故障的擴大化，避免「火燒聯營」事故；防護性能好，防潮、防小動物侵害、防積塵，運行可靠；由於母線室的隔熱作用，為下層空間創造了一個較好的運行環境。
  7. Using framework inference and researching strategy of prior part, 1 build inference engine of expert system of motor fault diagnosis. utilizing feature analogy learning method, complete mechanism of instance learning of expert system. while the system records process of diagnosis and route of researching, realize explaining control strategy by report

    利用框架推理，以局部符合的深度優先搜索構建電機故障診斷專家系統的推理機，利用屬性類比學習法實現專家系統事例學習機制。採用記錄診斷過程，和搜索路線通過報表實現解釋機制。
  8. In order to avoid matching the fault symptoms with the identification conditions artificially, ( fuzzy ) neural network was designed for diagnosis according to the optimal decision system. for the continuous quantitative diagnosis data such as the measurement, and the result of signal processing, a new hybrid system of self - organizing map ( som ) / fuzzy c - means ( fcm ), rough sets theory, and adaptive neuro - fuzzy inference system ( anfis ) was presented. firstly, the continuous attributes in diagnosis decision system were discretized with som or fcm

    對于連續的定量故障診斷數據（監測數據） ，以4135柴油機為例，提出了自組織映射（ som ）模糊c -均值（ fcm ） ?粗糙集?自適應模糊神經網路推理系統（ anfis ）集成的具體故障診斷實施方案：首先，應用som或fcm離散故障診斷數據中的連續屬性值；然後，基於粗糙集理論應用遺傳演算法計算診斷決策系統的約簡，按照實際需要確定診斷條件；最後，根據系統約簡設計anfis進行故障診斷。
  9. Then, the thesis discusses the concrete steps of the studying work, puts forward a diagnosing and analyzing sub - system based on the rs theory, and give an example to analyze it. the example shows that the presented method is simple and rational

    接著，給出了利用粗糙集理論進行研究的具體步驟，提出了基於粗糙集理論的故障分析系統的模型，將改進的屬性約簡演算法應用到該系統中，並進行了實例分析。
  10. By investigating 4 groups of test data of a certain type of engine, 24 original attributions were reduced to 2 groups, each group had 2 attributions, critical parameter combinations for fault diagnosis for liquid rocket engine were obtained ; 213 records were reduced to 5 or 6 records

    分析了某型號發動機的4組試車數據，將原來的24個屬性約簡為2組，每組有2個屬性，得到了在該樣本集中所有可能的、關鍵的、決定性的故障診斷因素的組合。針對每組，將原來的213個記錄分別約簡為5和6個。
  11. First, the fault type is identified by rough - set, then the neural networks determines the fault elements by the sampling voltage values. with regarding to the other method, the rough - set is looked as the pre - system of neural network. the fault information as well as the sampling voltage values are simplified by rough - set, and the outcome of this processing is the input of neural network.

    整體結合是利用粗糙集對故障信息中樣本的所有故障徵兆進行數據處理，通過知識約簡，刪除多餘的徵兆屬性，簡化知識表達空間維數，簡化以後的樣本數據作為神經網路的訓練樣本，構成完整的粗糙集-神經網路故障診斷方法，將粗糙集與神經網路相結合，簡化了神經網路結構，從而達到提高診斷速度的目的。
  12. Therefore, based on formers " research and recurring to the rather strong ability of holding mistakes possessed by rough set theory, this paper present a new attribute reduction arithmetic as well as an improved value reduction arithmetic based on the combination of rough set theory and duality boolean calculation, and use it to handle the reduction progress of the decision table including all kinds of fault cases which is established by considering the signals of protection relays and circuit breakers, then form the general mixed knowledge model and bring up an idea about automatic production of decision table

    為此，本文在前人研究的基礎上嘗試藉助粗糙集理論所具有的較強的容錯能力，提出了基於粗糙集理論與二值邏輯運算相結合的屬性約簡演算法以及改進的值約簡演算法，並將其應用於由斷路器和保護為條件屬性，考慮各種故障情況所組成的診斷決策表的約簡過程中，形成了混合策略知識模型，同時提出了診斷決策表自生成的基本思想。
  13. If the client receives failover information on a connection that doesn t have an explicitly specified initial catalog or database, the failover information is not cached and the application does not attempt to fail over in if the principal server fails. if a

    如果connectionstring指定了故障轉移合作夥伴的值但是沒有指定初始編錄或數據庫的值，在使用該字元串設置sqlconnection對象的connectionstring屬性時，或者將該字元串傳遞給sqlconnection構造函數時， sqlclient將引發invalidargumentexception 。
  14. Moreover, the paper compiles a decision tree - making program by camm algorithm in matlab in order to compare with the clustering. regard the history fault data of gear case as specimen, at first the information gain of every decision property is calculated at current decision point and the decision property which has the greatest information gain is selected as the decision point. then the assembly is subdivided according to the value of its decision property. delete the groups whose degree of support for sort property classification is less then the designated value

    以齒輪箱歷史故障數據為樣本，首先從當前決策節點計算每個決策屬性的信息增益，選擇具有最大信息增益的決策屬性作為決策節點，並根據該決策屬性的取值將該決策屬性所在集合分成若干個子集，濾掉所有子集中對類別標識屬性的分類支持度小於指定的最小支持度的元組，重復該過程直至生成決策樹。
  15. Setting the minimum and maximum properties of a progressbar no longer crashes the application

    -設置一個進度欄的minimum和maximum屬性時不再會使應用程序出現故障。
  16. Pattern recognition and fault diagnosis based on the rough sets theory and neural networks is studied in this dissertation. rough set theory in the noise environment and in the real region is generalized, and as the sametime, the methods of combine rough set theory with neural networks are proposed. the main contents of the dissertation are organized as follow : at first, a relation of nearness instead of indiscernibility is proposed for increasing the robustness of decision system which consists of noise pollution data

    論文運用粗糙集理論與神經網路方法進行了模式識別和故障診斷方面的研究，對在噪聲下和實數領域的粗糙集模型進行了擴展，研究了粗糙集與神經網路的多種集成應用方法，全文的主要內容如下:首先，論文針對經典粗糙集理論中的不可分辨關系對連續屬性值中噪聲數據缺乏容錯性的情況，提出一種相近關系代替不可分辨關系，並用不同的值調節相近關系中可接受的相近程度，限制了可冗餘的范圍。
  17. The simulation experiment had indicated this method in the accurate rate and the diagnosis speed in the fault diagnosis compares the traditional method to have the further enhancement. based on fractal theory, fractal diagnosis method is developed through characteristic parameter of calculating dimension of signal fractal. based on the principles of fuzzy theory and neural network as well as the conception of fractal dimension subordinating degree, fractal fuzzy neural network, input to which is fractal dimension subordinating degree, is constructed

    同時，本論文基於分形理論，以信號分形計算維數為特徵量，建立分形診斷方法;基於模糊理論和神經網路原理，基於分形維數隸屬度的概念，將不同采樣周期對應的計算維數按照模糊化處理，以一個固定的采樣周期時段的分形維數隸屬度為輸入，構成了分形模糊神經網路的診斷方法，提出了一種非線性模擬系統的故障識別方法，並利用模擬實驗驗證診斷演算法的有效性。
  18. In the paper, the relationships are introduced between gases category, and content dissolved in transformer oil and the destroy degree and fault style. the author have a deep research on the method of grey clustering, and classify together about consanguineous samples when giving attention to the sample characteristics " complexity and illegibility, so the system can realize expectant aims on the bases of lesser information. the analysis of instances testifies that the implement of theory of grey clustering on fault diagnosis in transformer is effective and the calculation is convenient

    針對目前電力變壓器故障診斷方法的現狀，特別是對結構復雜的大型電力變壓器等電氣設備的故障診斷，首要的問題是如何根據反映變壓器故障特徵量指標來正確判斷待診設備是哪一類故障，作者對灰色聚類方法原理進行詳細分析，在兼顧樣品特徵的復雜性和模糊性的基礎上，依據樣本一定的特徵因素，使兩樣本間關系比較密切、相似程度比較大的同屬一類，把一個不甚明確的整體信息不足的灰色系統盡可能地淡化、白化、量化、優化和模型化，以便能依據較少信息實現預期的目的。
  19. But it is followed by another problem - because it is very difficult for us to find a correct failure detection in asynchronous system such as the internet, the mobile agent fails and recovers later, they all lead to a violation of the exactly - onc e property for the agent ' s execution

    但隨之另一個問題又產生了? ?由於在異步的分散式的網路環境中很難找到一種可靠的故障檢測機制以及陷入故障的移動agent在經過一段時間后又隨時可能恢復正常，所以這都可能會導致對移動agent只執行一次屬性的破壞。
  20. The establishment of diagnosis model about gear fault the history fault data of gear case is analysed by clustering supplied by analysis services of microsoft sql server 2000, and the data which has the same property and fault type is classified as a group. traversing 8 property and outcome of this cluster obtained can get a rule. rules whose degree of support or belief doesn ’ t meet the demand are deleted and the diagnosis model is established from the rest rules

    2 .齒輪故障診斷模型的建立利用sqlserver2000中analysisservices提供的聚類法，對齒輪箱歷史故障數據進行挖掘，將具有相似屬性特徵且故障類型一致的數據分成同一組，得到一個聚類，遍歷這個聚類的8個屬性至結論得到一條診斷規則，濾掉支持度和可信度不滿足要求的規則，最後由所有規則建立診斷模型。
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