溶解氣體分析 的英文怎麼說

中文拼音 [róngjiěqìtǐfēnxī]
溶解氣體分析 英文
dissolved gas analysis（dga）
  • 溶 : 動詞（溶化; 溶解） dissolve
  • 解 : 解動詞（解送） send under guard
  • 氣 : Ⅰ名詞1 （氣體） gas 2 （空氣） air 3 （氣息） breath 4 （自然界冷熱陰晴等現象） weather 5 （氣味...
  • 體 : 體構詞成分。
  • 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
  • 溶解 : dissolve; dissolution; solution; lysis; solvus; resolution; decomposition; resolving; solving; fu...
  • 氣體 : gas; gaseous fluid
  1. The system regards the analyzing of deliquescent gas in oil as main method for diagnosing inner delitescent fault. the system carries out a comprehensive diagnosing combined with diversified high voltage tests items and it can identify the sort of fault. this method effectively remedies the limitation of single means

    該系統以油中溶解氣體分析作為診斷內部潛伏性故障的主線，結合各種相應的高壓試驗項目進行綜合診斷，確定故障的類別，有效地彌補了單一方法的不足。
  2. Utilising dissolved gases analysis, a new insulation fault diagnosis method for power transformers is proposed. this method is based on the group grey relational grade analysis method. first, according to the fault type and grey reference sequence structure, some typical fault samples are divided into several sets of grey reference sequences. these sets are structured as one grey reference sequence group. secondly, according to a new calculation method of the grey relational coefficient, the individual relational coefficient and grade are computed. then according to the given calculation method for the group grey relation grade, the group grey relational grade is computed and the group grey relational grade matrix is structured. finally, according to the relational sequence, the insulation fault is identified for power transformers. the results of a large quantity of instant analyses show that the proposed method has higher diagnosis accuracy and reliability than the three - ratio method and the traditional grey relational method. it has good classified diagnosis ability and reliability

    基於變壓器油中溶解氣體分析，提出了一種基於群灰色關聯度分析的變壓器絕緣故障診斷新方法.首先根據故障類型與灰色參考序列構造，選擇變壓器典型故障樣本構造多組參考序列，這些參考序列組構成一個灰色參考序列群.其次根據給出的新的關聯系數計算方法，計算個體關聯系數和關聯度.然後根據給出的群灰色關聯度計算方法，計算群灰色關聯度和構造群灰色關聯度矩陣.最後根據關聯序識別變壓器絕緣故障診斷.通過大量變壓器絕緣故障診斷實例分析，所提方法診斷準確性與可靠性優於三比值法和傳統的灰色關聯分析方法，具有較好的分類診斷能力和可靠性
  3. Impregnated insulating materials ; application of dissolved gas analysis to factory tests on electrical equipment

    浸漬絕緣材料.工廠試驗用電子設備溶解氣體分析的應用
  4. Impregnated insulating materials - application of dissolved gas analysis to factory tests on electrical equipment

    浸漬絕緣材料.溶解氣體分析在電氣設備出廠試驗中的應用
  5. Impregnated insulating materials. application of dissolved gas analysis to factory tests on electrical equipment

    浸漬絕緣材料.在電氣設備上將溶解氣體的分析應用於工廠試驗
  6. Impregnated insulating materials - application of dissolved gas analysis to factory tests on electrical equipment iec 61181 : 1993 ; german version en 61181 : 1993

    浸漬絕緣材料.工廠電子設備試驗用溶解氣體分析
  7. In this paper, the power transformer interior fault diagnosis technique based on the dissolved gas in oil analysis and the principles of genetic algorithm are analyzed. the forecasting models for power transformer interior fault are proposed based on the grey prediction model. the genetic algorithm is applied to estimating optimum coefficients of this forecasting model

    本文對基於變壓器油中溶解氣體分析（ dissolvedgasesanalysis ，簡稱dga ）技術的大型電力變壓器內部故障診斷技術和遺傳演算法原理進行了深入的分析，首次將灰色預測理論引入到大型電力變壓器內部故障預測工作中，運用遺傳演算法實現預測模型的優化，建立了基於遺傳演算法的變壓器內部故障改進灰色預測模型。
  8. It estimates relation degree between factors according to curves analogue degree. 3 ration method is usually used for transformer fault diagnosis, it sometimes can not judge fault because of its lack of enough ration codes

    在變壓器的故障診斷中普遍採用油中溶解氣體分析（ dga ）導則推薦的三比值法。但因其比值范圍不全，常導致在實際診斷過程中出現不能判斷的情況。
  9. The chromatogram analysis of oil solved gas of transformer, which can inflects various potential faults, is widely utilized

    變壓器油中溶解氣體的色譜分析以其可檢測變壓器各種潛伏性故障而得到廣泛應用。
  10. In this approach, the concentration and development trend of gases dissolved in transformer oil are predicted primarily using gm ( 1, 1 ) model, and then the predicted results are calibrated by self - learning bp - neural networks with calibrated parameters obtained by analyzing the interaction of different types of gases and the relationship between the time sequences of gas concentrations

    此法是利用gm （ 1 ， 1 ）模型初步預測油中溶解氣體的濃度及變化趨勢，通過分析故障氣體組分之間的影響及氣體濃度時間序列之間的關系確定修正參數，將初步預測結果與修正參數作為自學習bp網路的輸入，從而完成預測結果的在線修正。
  11. Early diagnosis of transformer faults based on bp neural network

    用溶解氣體分析法診斷變壓器故障
  12. Guide to the analysis and the diagnosis of gases dissolved in transformer oil

    變壓器油中溶解氣體分析和判斷導則
  13. As the back - propagation neural network ( bpnn ) is adopted to diagnose the dissolved gases of transformer, convergence rate becomes slow, convergence precision becomes bad and even being out of convergence as more sampled data are trained and more complicated relation between input and output becomes

    根據電力變壓器油中溶解氣體分析（ dga ） ，採用反向傳播神經網路（ bpnn ）對電力變壓器進行故障診斷時，隨著學習樣本數目的增多，輸入輸出關系的復雜化，網路收斂的速度將變得緩慢，收斂精度不理想甚至不收斂。
  14. The dissolve gas analysis method which adopted widely at home and abroad is used as dominant idea to diagnose internal incipient fault. synthetical diagnosis on the basis of combining all kinds of relevant tests make a decision for the fault position. tests include routine test for oil and preventive test for transformer

    該系統以國內外公認的油中溶解氣體分析作為診斷內部潛伏性故障的主線，結合各種相應的試驗項目（預防性試驗、油務試驗等）進行綜合診斷，確定故障的大體部位。
  15. The chromatographic analysis principle and fault diagnosis method of dissolved gasses in transformer oil are discussed. the examples of fault analysis are presented

    摘要論述了變壓器油中溶解氣體色譜分析的原理及故障診斷的方法，並給出了事故分析實例。
  16. 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。
  17. Through preventive and analyzing test of dissolved gas, water content in oil of the large - scale rectification transformer, we discuss the validity of the preventive test, and put forward the proposal on examining method, the failure diagnosis as well as the present situation and the development of maintenance for large - scale rectification transformer

    摘要通過對大型整流變壓器油中溶解氣體、油中含水量分析預防性試驗，探討預防性試驗有效性，並對檢測方法、故障診斷以及大型整流變壓器狀態檢修的現狀與發展提出建議。
  18. The operation reliability of the power transformer as the key equipment in electrical power systems, influences operation security of electrical power systems directly. the components and contents of gases dissolved in transformer oil can be used to reflects internal insulation faults of operating transformer. in order to overcome the errors caused by complex handling procedure and man - made factors using general chromatogram analysis method, author brings forward an on - line detecting of gases dissolved in transformer oil by using macromolecule polymer to separate oil and gases automatically and an information fusion technology of multi - sensors ; at the same time, in order to improve the accuracy and reliability, author uses neural networks to diagnose transformer faults

    變壓器作為電力系統的樞紐設備，其運行可靠性直接影響電力系統的安全運行；變壓器油中溶解氣體的成分和含量能有效體現運行變壓器內部的絕緣故障情況，為解決常規色譜分析中復雜的操作程序和由於人為因素引起的較大的誤差，論文提出了應用高分子聚合膜實現變壓器油氣自動分離、多傳感信息融合技術智能檢測多種氣體成分的變壓器油中溶解氣體在線監測技術，應用神經網路智能診斷方法實施故障診斷，提高變壓器故障診斷的準確性和可靠性。
  19. The paper analyses the on - line monitoring power transformer " s chromatogram of oil in the pingliang 110kv substation and investigation the status in quo of transformer insulation monitor based on chromatogram of transformer oil. after the analysis of deflection sources in routine chromatogram of oil test, the paper brings into effect successfully the equipment on the base of characteristic infiltrative film monitoring six gases dissolved in transformer oil in the pingliang substation 2 # transformer. through analyzing a great deal practical data, it is proved that the monitoring system is stable and reliable, and has the ability to show the transformer ' s running state

    論文通過對平涼110kv變電站實施主變壓器油色譜在線監測及目前國內外對變壓器油色譜在線監測技術的現狀分析，結合影響常規油色譜測量結果及誤差來源分析，在平涼變電站2 #主變壓器上成功實施了以滲透氣體膜原理為基礎的變壓器油中六種溶解氣體在線監測及診斷裝置，通過大量運行數據分析，系統運行穩定，能正確反映變壓器的實際運行情況，並有效抓住了變壓器的一次故障，可作為狀態維修的依據。
  20. This thesis disusses the current states and the matter of the transformer condition monitoring and diagnosis fault. afer analying that dga can only reflect the fault type but ca n ' t confirm the fault location, part - discharging signal can realize fault location in theory but ca n ' t be carried out easily for the inconstant influence of circumstance, we present a method that conbinates the oli - gas and electric quanlities to monitor the transformer. using on - line monitoring of oli - gas conform the fault type. using on - line electric quanlities confirm the fault location. with this method, a fault diagnosis system and corresponding diangnosis flow are proprosed. the main work of this thesis consists of the following parts : 1

    本文主要研究了電力變壓器狀態監測與故障診斷的現狀以及存在的問題，針對目前dga （油中溶解氣體色譜分析法）只能定性分析變壓器的故障，不能進行故障定位，而局部放電雖然能夠進行故障定位，但由於現場的干擾復雜多變，難以提取有效的局部放電信號，從而提出了結合油氣量和電氣量兩個方面對變壓器進行狀態監測。通過油氣量在線監測，判斷其故障類型和性質；通過電氣量在線監測，對變壓器的關鍵部件? ?繞組實現故障定位。
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