故障識別 的英文怎麼說

中文拼音 [gùzhàngzhìbié]
故障識別 英文
failure recognition
  • 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
  • 識 : 識Ⅰ動詞[書面語] （記） remember; commit to memory Ⅱ名詞1. [書面語] （記號） mark; sign 2. （姓氏） a surname
  • 別 : 別動詞[方言] （改變） change （sb. 's opinion）
  • 故障 : hitch; breakdown; stoppage; fault; faulting; accident; blunder; bug; conk; failure; impairment; i...
  • 識別 : 1 （辯別; 辯認） discriminate; distinguish; discern; tell the difference; spot 2 [計算機] identif...
  1. An adaptive wavelet network classifier for vibration fault diagnosis of steam turbine - generation is proposed based on theory of adap tive wavelet network ( awn )

    基於自適應小波網路理論，構造了一個應用於汽輪發電機組振動故障診斷與識別的自適應小波網路分類器。
  2. This paper analyses the test results gained by mixed simulation, and validates the reliability of the use of transient zero current and negative current in fault identifying

    文中討論了負序電流的分佈及提取問題，試驗數據同樣表明負序電流用於單相接地故障識別是可行性的。
  3. Abstract : the responses of shaft bow and their relationships with unbalanceresponses and mechanical or electronic run out are analyzed based on the theory of rotor dynamics. the responses of shaft bow are separated from the unbalance responses successfully by making use of vibration information under different rotor runs. an identification method of thermal bend is presented based on the 2d - holospectrum technique. experimental results show that when bow phase is steady and amplitude is variable, the tangent of initial phase point on the 2d - holospectrum is parallel, which can be effectively used for diagnosis of bent shaft

    文摘:依據轉子動力學理論分析了柔性轉子彎曲響應的特徵，在此基礎上討論了它與不平衡響應及機械與電氣跳動量之間的關系，並利用轉子在不同起車情況下的振動信息，有效地分離了彎曲響應和不平衡響應，求解出彎曲量與不平衡量的比值.提出了轉子在恆定轉速下，基於二維全息譜技術的熱彎曲故障識別方法.研究結果表明，當彎曲量相位穩定而其幅值變化時，轉子響應的二維全息譜初相點的切線是相互平行的，由此可以有效地實現轉子熱彎曲故障的識別與診斷
  4. A case study of the fault identification in purchasing process based on qfd and its suggestion of improvement

    的采購流程關鍵故障識別及其改進的實例研究
  5. To conquer the problem of acquisition high effectiveness in analog circuit fault imformation, wavelet transform was researched in this paper to preprocess the fault signals. meanwhile, bp neural network diagnosis method based on wavelet transformation was proposed, this method can abstract fault feature effectively and decreases the dimension of imput vector. by this mean, the construct of neural network can be simplified and training time was economized, then the recognize ability of fault type was improved also

    為解決模擬電路的故障信息高效獲取難題，本文採用小波變換作為故障信號的預處理器，研究了基於小波變換預處理的bp網路故障診斷方法，該法能在有效提取故障特徵的同時，降低輸入信息的維數，從而進一步簡化了神經網路的結構，減少了其訓練時間，提高了辨識故障類別的能力。
  6. " energy - fault recognition ", a fault diagnosis method based on wavelet packets analysis for the transport pipeline supervising system is proposed in this dissertation. eigenvector target is presented which reflect the characteristic of leakage pressure signal

    本文將基於小波包分析的「能量?故障識別」故障診斷方法引入管道運行狀態監測技術，提出了反映泄漏壓力信號特性的特徵向量指標。
  7. 3. to enhance the ability of fault recognition, a new method for searching the fault origin from the multivariate statistical aspect is presented

    為了提高多元統計過程式控制制的故障識別能力，提出了一種基於多元統計過程式控制制的識別故障源的新方法。
  8. New fault recognition method based on multivariate statistical process control

    基於多元統計過程式控制制的故障識別方法
  9. It is an important base theory for the automobile electrical control system fault diagnosis ( aecsfd ). according to the characteristic of aecsfd and the demand of the fault pattern recognition ( fpr ), the principle of selection and extractation on automobile technology condition features and the main pattern recognition methods are discussed

    由於計算機模式識別技術的日益成熟，為汽車電控系統故障識別的技術提供了完整的理論基礎。結合汽車故障的特點和模式識別的要求，論述了汽車技術狀態特徵的選擇和提取原理、汽車故障模式識別的主要方法。
  10. To facilitate rapid reaction times, fault recognition is usually carried out by newly developed mechanisms

    為了方便快速識別錯誤，故障識別通常採用新機制。
  11. 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。
  12. Fault recognition of automotive transmission based on wavelet packet decomposition and neural network

    小波包分解與神經網路相結合的變速箱齒輪故障識別
  13. This paper discusses the size of transient zero current and the method of analyzing it. numeral simulation shows the feasibility of it. negative current at fault line is differ distinctly from non - fault line

    文中討論了零序電流暫態分量的大小和提取方法，對數字模擬和混合模擬試驗數據進行分析，結果表明零序電流暫態分量用於單相接地故障識別是可行性的。
  14. Applications of gray nerve network in the fault identifications of gear box

    灰色神經網路在齒輪箱故障識別中的應用
  15. Especially for linear and nonlinear analog circuit fault diagnosis as well as a large scale integrated circuit, there are no generally proper maths model and common simulation program for networks

    故障識別時需要得到最能反映故障分類的本質特徵，提取合理的故障特徵是模擬電路故障診斷的核心問題之一。
  16. Fault identification is an important composition of fault diagnosis

    本文定義了一個故障識別指數svi進行故障識別。
  17. Diagnosis study of defect symptoms - reason of die - drawing on simulated annealing genetic algorithm

    故障識別中并行組合模擬退火演算法的應用
  18. Then the inefficiency on fault recognition based on multivariate statistical process control is presented

    指出了多元統計過程式控制制在故障識別上能力的不足。
  19. These intelligent algorithms used in this paper have improved the transformer fault identifying rate greatly

    文中所採用的智能演算法都明顯提高了變壓器的故障識別率。
  20. In many of the simulation experiments, the results indicate that the system has a very high identify probability for the most faults

    多次的故障診斷實驗表明，此系統不但突破了知識獲取的瓶頸，而且具有很高的故障識別率。
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