補足線網 的英文怎麼說

中文拼音 [bǔzúxiànwǎng]
補足線網 英文
line building-out network
  • 補 : Ⅰ動詞1 （修理; 修補） repair; mend; patch 2 （補充; 補足;填補） fill up; add supplement; supply; ...
  • 足 : Ⅰ名詞1 （腳; 腿） foot; leg 2 （姓氏） a surname Ⅱ形容詞（充足; 足夠） sufficient; ample; enough;...
  • 線 : 名詞1 （用絲、棉、金屬等製成的細長的東西） thread; string; wire 2 [數學] （一個點任意移動所構成的...
  • 網 : Ⅰ名詞1 （捕魚捉鳥的器具） net 2 （像網的東西） thing which looks like a net 3 （像網一樣的組織或...
  • 補足 : bring up to full strength; make up a deficiency; make complete; fill reinforcement; reinforcing; ...
  1. The factory has possessed advanced production equipments and wire cable check equipment at domestic. first class technology will provide you wire cable with fluorin polymer used in in aviation spaceflight, electric cables, control cables, computer cables, compensatory wire cables, fire - proof cables with high temperature, general plastic cables that classified into sixteen species and over one thousand specifications. cables for " hongyuan " brand are widely used in the fields of spaceflight, national defence, electric petroleum chemistry, steel, public establishments, environmental perfection and architecture. temperature - proof cables with " hongyuan " brand were awarded with famous products in 2001 which are widely sold all through the world and have been won customers trust

    一流科技力量為您提供航天用含氟電線電纜電力電纜耐熱防腐硅橡膠電纜耐高溫電纜控制電纜計算機網路電纜補償用電線電纜船用電纜橡套電纜阻燃防火電纜等十六大類，一千多種規格產品，並可根據擁護特殊要求，自行設計生產，以滿足顧客要求，多年來「宏源」牌電線電纜廣泛用於航空航天國防軍工電子原件電力石化鋼鐵冶金公共設施環保建築等領域，深受廣大用戶高度評價和信賴。
  2. It developments and follows the advantages of traditional instrument control system and computer central control system and make up for their disadvantages so that it is applied in oil, chemistry, mineral, electricity, silk, food and water est. with its new frame, modern technology, complex information and unique control mode. it has become mainstream in process control system

    它繼承和發展了常規儀表控制系統和計算機集中控制系統的優點，又彌補了它們各自的不足，以嶄新的結構體系、先進的技術面貌、復雜的信息處理功能和獨具風格的控制方式應用於石油、化工、治金、電力、紡織、造紙、食品和水處理等各個工業生產領域，已經逐步成為過程式控制制系統發展的主流，它的優點在於網路結構簡單，且通信電纜少，布線容易，節省材料和費用，減少了維護工作量。
  3. The reactive power optimization compensation is to find the suitable compensation place and the best compensation capacitance by adjusting the generator bus voltages, transform taps and reactive compensation capacities in the condition of satisfying power load requirement, which can guarantee the secure and high quality power for consumers. the improved genetic algorithm is applied in this thesis according to the features of reactive power optimization of high voltage transmission bus, which are the non - linear problems with multi - variables and multi - restrictions

    電網無功優化補償是在有功潮流調度給定的情況下，以負荷節點電壓和線路輸送無功功率作為狀態變量，運用優化演算法，調節發電機節點電壓、變壓器可調分接頭和無功補償裝置，在滿足電力負荷的要求下，尋求合理的無功補償點和最佳補償容量，保證電網能夠安全、優質地向用戶供電。
  4. According to the fact that power factor of low voltage power networks is very low in china and field bus technology is developing in the world, in order to enhance power factor of low voltage power networks, on the basis of central transmitting and controlling information among every compensation equipment, the author of this dissertation studies systematically the design principles of power factor dynamic compensation system. based on analyzing structure of control system at present, the author of the dissertation puts forward a distributed completely and multi - layer structure framework based on field bus technology and builds a power factor intelligent dynamic compensation system. the functions of compensation unit, intelligent node, host computer, are presented

    根據目前低壓電網用電負載功率因數偏低和國內外現場總線技術的應用現狀，立足於提高交流電機的功率因數，基於將每個補償裝置進行集中監控、信息集中傳遞的思路，本文作者在分析現有的控制系統體系結構的基礎上，提出了基於現場總線技術的全分散式多層控制系統的體系結構，構建了功率因素智能動態補償系統；對補償執行單元子系統、智能節點子系統、上位機子系統三部分進行了功能分析。
  5. This dissertation presented two new methods of robust adaptive track control for a class of mimo strong nonlinear system with external disturbance. one method makes use of taylor approximation principle to linearize the mimo strong nonlinear system at the ideal equilibrium point, meanwhile external disturbance is considered, and then designs two on - line neural network controller respectively, which can dynamically compensate the high order items of taylor series and the control signals at ideal equilibrium point under the drive of state error between linear and nonlinear system. a linear feedback controller obtained by pole assignment and two on - line neural network act on the practical mimo high nonlinear system together, guaranteeing the whole system robust stable and tracking the specified signal ; the other method designs three on - line neural networks for this class of system

    本文對於一類含有外部擾動的多輸入多輸出（ mimo ）強非線性系統，提出了兩種新的魯棒自適應跟蹤控制方法，第一種利用了taylor近似的原理，在考慮了外部擾動的情況下，將mimo強非線性系統在理想平衡點處線性化，分別設計了兩個在線神經網路控制器，在線性和非線性系統之間的狀態誤差驅動下動態補償系統的taylor近似高階項及理想平衡點處的控制信號，滿足極點配置方法的線性反饋控制器和兩個在線神經網路聯合作用於實際的被控mimo強非線性系統，在保證整個系統魯棒穩定性的情況下，能夠跟蹤給定的指令信號；另一種方法是針對這類系統設計了3個在線神經網路，分別實時抵消這類非線性系統中的非線性部分、與控制量耦合的非線性項以及外部擾動，使得受控系統的輸出可以完全跟蹤給定輸入參考信號。
  6. Then a kind of fuzzy - smith control strategies for a large dead - time system is studied and improved. the simulation results show that the fuzzy - smith control method has some excellent performances, which is suitable for systems with deadtime - varying parameters. considering that the conventional fuzzy has a shortcoming of invariable fuzzy rules, an algorithm of adjustable fuzzy rules based on a single neural cell is proposed in this paper, which is used for modifying the fuzzy control query table on - line

    本文分析了模糊控制、神經網路和常規控制演算法存在的不足，研究了如何將各演算法的優勢互補，相互融合，形成復合的自適應智能控制演算法；針對大時滯系統的特點研究了fuzzy - smith控制演算法，並在前人基礎上做出了一定的改進研究，進一步提高了fuzzy - smith控制演算法的性能；又將常規pid與神經網路有機結合，研究了單神經元pid控制演算法：針對常規模糊控制不可調整模糊控制規則的局限，本文利用單神經元的自適應、自學習能力對模糊規則庫進行了間接在線自調整。
  7. Then, in this part, the author expounds the significance of researching this thesis and practical need of creating a webassign system from three aspects which include satisfying students " demands, perfecting existent homework online and satisfying the demands of academic achievement ' s evaluation based on new curriculum ideas

    從滿足個別化學習需要，彌補現有網路作業不足，適應新評定理念三個方面著力闡述建構一個適應新課程評定思想的在線作業系統的現實需要及研究意義。
  8. The radar target identification based on artificial neural network is the protagonist of the chapter 4. bp network and wavelet network are used to classified the emulational radar targets. with the powerful capability of non - linnear identification of bp neural network, its ’ born limitations such as local extremum, slow convergence etc. can be reformed by the wavelet network, which is a network with a wavelet function embedded into the node of a bp network

    研究了基於人工神經網路模型的雷達目標hrrp識別方法。 bp人工神經網路強大的非線性處理能力，在解決復雜目標分類識別時有優勢;小波神經網路針對bp網路的不足，將bp網路和小波變換相結合，在網路收斂、網路初始化方面彌補了bp網路的部分缺陷，其識別性能和抗噪性能與bp網路相比有所提高。
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