誤差診斷 的英文怎麼說

中文拼音 [wùchāzhěnduàn]
誤差診斷 英文
error diagnosis
  • 誤 : Ⅰ名詞（錯誤） mistake; error Ⅱ動詞1 （弄錯） mistake; misunderstand 2 （耽誤） miss 3 （使受損害...
  • 差 : 差Ⅰ名詞1 （不相同; 不相合） difference; dissimilarity 2 （差錯） mistake 3 [數學] （差數） differ...
  • 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...
  • 誤差 : error
  • 診斷 : diagnose; diagnosis; diacrisis
  1. Applying the classical pattern recogtiition theory anci ftiflcial neural networks method, this paper proposes the analog fault diahoes priricip1s with backward - propagation neural network ( i3pnn ) arid self - or ~ anizing feature map ( sofm ) neural network algorithm implementation

    本文提出了模擬電路故障診斷前向多層誤差反傳（ bp ）網路和自組織特徵映射（ sofm ）網路的演算法實現方法。
  2. Besides, the information on actual height of lowest cloud base is used in constructing of cloud liquid water profile by using radiosonde profiles, that makes an improvement of relative accuracy of retrieved value of l at almost all altitudes by 5 - 20 % according to numerical simulation comparison. the lower the altitude is, the more the accuracy is improved

    為減少由於回歸樣本中雲液水廓線的『失真』給反演造成的誤差，本文在對探空廓線作診斷建立雲液水廓線時，引入了實際目測的最低雲底高的信息。數值模擬比較表明該措施行之有效，使對流層中下層的幾乎所有高度上l反演值的精度提高5 - 20 ，觀測高度越低，精度提高越多。
  3. Adding momentum item while correcting weight and limiting range of input value reduce error and improve diagnosis correctness greatly. while normalizing the input value, a new way is put forward that normalization is performed item by item according to its sort. in this way error training can avoid going into the flat field that is caused by existing of 0 or 1 of the input value

    本文首先分析了故障診斷和神經網路的基本理論，並在此基礎上提出了神經網路對于變壓器故障診斷系統的適用性；文中將bp神經網路演算法用計算機實現；並針對其本身存在的一些缺點提出了一系列改進措施，通過在修正權值的時候增加動量項，並且限制輸入值范圍來減小誤差、提高系統的診斷正確率；在對輸入數據進行歸一化處理的時候，採取按類逐項歸一化的方法，避免了輸入數據出現0或者1而使訓練進入平坦區。
  4. Among many methods that deal with structural damage assessment, most of them focus on simple structures and don ? consider any errors, so there is a certain distance before they can be used to assess the damage of real structures

    =在眾多對結構進行損傷診斷的方法中，大多以簡單結構為例進行分析，而且一般不考慮誤差的影響，這都與實際工程結構的損傷診斷有一定距離。
  5. In this thesis the high voltage electric capacity equipment is adapted as on - line object of monitor and diagnose system. the system ' s structure of high voltage electric equipment is introduced, and the possible to each error occuring in high voltage capacity type equipments during the monitoring, analysis and judgment is given

    本文選擇變電站高壓電容型設備作為在線監測的對象，探討了高壓電氣設備在線監測系統的構成，在理論上分析了變電站小四器的絕緣特點，並對其在在線監測和故障診斷中可能出現的誤差進行了分析和判斷。
  6. It uses the condition to design the system. it also describes theories of dealing with the system error

    本章還討論了掃頻式微波干涉儀診斷系統的誤差處理方法及原理。
  7. Theoretically, on the basis of the analyses of the errors of typical units in measurement systems, the concept of the separating and tracing of the output errors is advanced. its methods are discussed and compared. the analysis method of generalized wavelet - neural network ( wnn ) is applied

    在理論上，首先在進行測量系統典型單元誤差分析的基礎上，論述了誤差分解與溯源的理論思想，並探討了進行動態誤差分解與溯源的方法，經過比較，確定了應用廣義小波神經網路的分析方法；然後，論述了精度損失診斷的理論與思想。
  8. Secondly, according to these models, the measuring errors of the systems are decomposed into the component errors and traced to their sources, i. e. the units within the measurement system. lastly, accuracy - loss diagnosis of each system is performed based on the decomposing and tracing results of the output errors. the units are diagnosed, which are the main factors of the accuracy loss of the whole system

    在實踐上，以兩套實際的測量系統為研究對象，分別對其實際的動態測量誤差進行了建模、分解與溯源，將系統的輸出總誤差追溯到各單項誤差源? ?系統內部各組成單元所產生的誤差；而後，以誤差分解與溯源的結果為依據，分別對兩套系統進行了精度損失診斷，並分析了系統中對總的精度損失影響最大的環節，此結果可為測量系統的設計者提供系統優化設計依據。
  9. This paper investigates the vibration features of various typical gearbox faults including profile error, broken tooth, symmetrical tooth wear, serious unbalance of shaft, on the base of theoretic analyses and plenty of cases. it provides guide for further gearbox - fault - automatic - diagnosis

    在理論分析和大量的工程實例基礎上，提取了包括齒型誤差、斷齒、齒輪均勻磨損、軸嚴重不平衡、箱體共振五種齒輪箱典型故障的振動特徵，為實現齒輪箱故障自動診斷提供了理論依據。
  10. The power spectrum analysis can with accurate examine a rolling bearing ’ s structure and processing and assembling the error margin. time sequence analysis can pass to build up the time sequence model, we can see the peak of the spectrum of the fault ’ s clearly

    功率譜分析可以精確診斷滾動軸承結構和加工裝配誤差類故障。時間序列分析能通過建立時序模型，從譜圖上來更清晰的看出故障的譜峰。
  11. From theoretical analysis, we know the existing demodulation methods have limitations as following : one is that the subtraction of the two signals frequencies will display as the result of demodulation when we demodulate two time - domain adding signals without modulating information ( fault information ) ; the other one is that aliasing phenomenon will occur as a result of getting absolute value, detection or square in the process of generalized demodulation analysis, such phenomenon will result in some superfluous frequency composition on the frequency spectrum, which will puzzle the detec tion of mechanical vibration. if the sampling frequency is selected from a suitable range, the aliasing phenomenon will be avoided ; the last one is that aliasing frequencies will be produced in zoom demodulation analysis because this algorithm cannot employ digital low - pass filtering to avert the folding frequencies of higher harmonics in the process of zoom sub - sampling

    現有的解調分析方法存在以下三種局限性：將不包括調制信息（故障信息）的兩時域相加信號，也以其頻率之差作為解調信號而解出；廣義檢波濾波解調分析中，由於取絕對值、檢波或平方過程可能產生混頻效應，在解調譜中表現為無法分析的頻率成分，並由此推導出避免這種混頻現象的采樣頻率的選取范圍，從根本上避免此類誤診斷的產生；幾種細化解調分析新演算法中，因為無法在細化分析的選抽時進行數字低通濾波，有可能會出現調制頻率的高次諧波成分發生頻率混疊而反折到低頻部分的現象。
  12. Diagnostic uses might demand a reduction in error rates below the current hgp standard of 0. 01 percent, because that still permits 600, 000 errors per human genome

    目前人類基因組計畫的誤差標準為0 . 01 % ，也就是人類基因組的序列中可能有60萬個錯誤，相較之下，用於醫療診斷的定序誤差必須更低。
  13. The paper mainly did the dissemination of error neural network ( bp ) research and gave recommendations on ways to improve bp algorithm. by using better diagnostic techniques with the neural networks legend, memory and reasoning functions and tolerant nature, robustness and good nonlinear, it can better realized the fault

    主要對誤差後向傳播神經網路（ bp ）進行研究，提出了改進的bp演算法，利用神經網路的聯想、記憶和推理功能以及容錯性、魯棒性和很好的非線性映射能力等特點，更好地實現故障診斷。
  14. Some basic system error models are introduced, and theorem and method of diagnoses of error models is researched

    分析了幾種基本的系統誤差模型，還對誤差模型診斷的原理和方法進行了研究。
  15. ( 3 ) how to design the bayesian test method about the parameter ' s linear hypothesis according to the relationship between the multivariate t distribution and f distribution. ( 4 ) the bayesian diagnosis and unit root test method about the random error series. ( 5 ) the bayesian mean value quality control chart when the variance is known and the mean value - standard error control chart when the variance is unknown

    然後，研究了擴散先驗分佈下單方程模型參數的貝葉斯估計理論，證明了模型系數的后驗分佈為多元t分佈，模型誤差項方差的后驗估計為逆gamma分佈；根據多元t分佈和f分佈之間的關系，構造了模型系數線性假設檢驗的貝葉斯方法；根據hpd置信區間構造了隨機誤差序列自相關的貝葉斯診斷和單位根檢驗方法，並利用單方程模型的貝葉斯推斷理論研究了方差已知時的貝葉斯均值控制圖和方差未知時的貝葉斯均值?標準差控制圖。
  16. 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。
  17. After an error analysis is made in detail for second - order equations and some essential points of genetic algorithm in fault diagnosis are also illustrated, an improved genetic algorithm is adopted to choose an optimal test frequency

    本文對二階靈敏度故障診斷方程進行了詳盡的誤差分析，同時在詳細闡述了故障診斷應用中的遺傳演算法操作要點后，使用改進遺傳演算法來選擇優化的測試頻率。
  18. The result of fault diagnosis simulation tests indicates that the fault diagnosis system could make training error reach to the aim value quickly and efficaciously for all pulverizing system fault samples. at the same time, simulation tests prove that the fault samples with the signal of zero or one of pulverizing system and bp neural network model are correct, and this system faults can be diagnosed exactly and quickly. obviously, this research is successful and lay the foundation for the development of pulverizing fault diagnostic system

    其故障診斷模擬實驗結果表明，應用本文所開發研究的制粉系統各故障樣本及其相關故障樣本訓練時均能快速有效地收斂於一個設定的系統誤差值；同時其故障診斷的模擬實驗證明了本文所建立的以0 、 1為徵兆量的制粉系統故障樣本和bp神經網路模型是正確的，且能快速、較準確地對故障情況作出判斷，顯然，本文的工作是有成效的，為制粉系統故障系統進一步開發奠定了基礎。
  19. 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。
  20. But the sbg has the complicated tooth surface structure, which makes its manufacturing and measurement more complicated than those of ordinary cylindrical gear. meanwhile, it is an exploring phase to analyze and diagnose sbg ’ s process errors

    然而，由於螺旋錐齒輪的齒面形狀復雜，與普通圓柱齒輪相比，其加工和測量非常復雜，對其工藝誤差分析與診斷也處于探索階段。
分享友人
分享到 Line

分享到臉書