datum error 中文意思是什麼

datum error 解釋
原始數據誤差
  • datum : n. （pl. data ） 〈拉丁語〉1. 〈常 pl. 〉 數據，資料。2. 論據，作為論據的事實。3. 【數學】已知數。4. 【測】基點，基線，基面。
  • error : n. 1. 錯誤；失錯。2. 謬見，誤想；誤信；誤解。3. 罪過。4. 【數學】誤差；【法律】誤審，違法；（棒球中的）錯打。adj. -less 無錯誤的，正確的。
  1. Fourthly, this paper standardizes the linear of the inductance sensor and analyzes its error. then we discuss the angle error of the laser sensor and the datum plane error of the mechanism. finally, the paper gives some advice to improve the mechanism

    第四，此外，本文還對電感傳感器進行了線性校正及誤差分析，討論了激光傳感器傾角誤差，並對機械設計中的定位結構進行了誤差分析，提出了改進的措施。
  2. Analyze item by item the position of unintact cycle, the running clearance of unintact cycle, locking - deform, datum dimension regulating, repeatly install, power voltage wave and marking running etc. at the same time, we give the calculating formula to calculating the running marking random error, and use it to calculate the system error of big diameter measure instrument - - datum dimension frame error, gyro - wheel diameter error, error caused by circumstance temperature, error caused by backing distance, angle error, delay error of data collecting circuit, lathe main shaft running error, workpiece install partial error

    對不完整圓的位置、不完整圓的轉動間隙、鎖緊變形、基準尺調整、重復安裝、電源電壓波動、標記轉動等隨機誤差進行了逐項分析，並給出轉動標記隨機誤差的計算公式。對大直徑測量儀的系統誤差?基準尺尺架誤差、滾輪直徑誤差、環境溫度引起的誤差、後退距離引起的誤差、角度誤差、數據採集電路延時誤差、車床主軸回轉誤差、工件安裝偏心誤差分別進行了計算，最後對誤差進行合成。
  3. Especially, the idea of " datum dimension precision back " is being put forward, and this idea is being realized by backing composition composed by outer - diameter micrometer, airproof shafting, microwatch. at the same time, use " non - lock " to replace " lock ", this way make the system compact, eliminate many bigger error and resolve th

    尤其是提出了基準尺調整后精確後退的思想，並通過外徑百分尺、密珠軸系、千分表組成後退機構加以實現。同時以「無鎖」代「鎖」 ，使系統結構緊湊，受力小，消除了多項較大誤差從而解決了測試精度低的關鍵問題。
  4. A mathematic model is set up to express the process of datum transform based on il & sm flexible fixturing system. the machining error caused by the error of the fixture is calculated with the aid of this model, and a solution of error compensation is proposed

    對于il & sm柔性安裝系統，作者建立了反映工位轉換的數學模型，並運用這個模型分析由尋位箱製造、裝配誤差引起的加工誤差，並提出補償方法。
  5. One is to use fourier transformation to convert the source signal from time domain to frequency domain and to discard high frequency harmonious components upwards of 19 ( gb / t14953 - 93 d5. 3 demanding ), then to have static huffman coding to the quantized char array which is composed of reserved direct current component and basic wave and each high frequency " s amplitudes and angles. the other is to use discrete wavelet transformation to convert the source signal from time domain to frequency domain and to set the high frequency coefficients that its absolute value is smaller than the given threshold to zero, then to have dynamic huffman coding to the quantized char array which is composed of multiple, wavelet ' s level, datum length, low frequency coefficients and reserved high frequency coefficients. mass simulinks and analyses under the two circumstances have done to show that data compression ratio is small and the relative error is also small and within the permission of engineering and the compression problem can be solved in theory of measured datum of power system

    第一種情況的壓縮方法為：採用傳統的傅立葉變換把原始信號從時間域變換到頻率域，舍棄20次及其以上的高次諧波成分（保證了gb / t14953 ? 93d5 . 3要求） ，然後對保留的直流分量、基波和各次諧波的幅值和相角數據量化后和量化時分別乘以的倍數系數構成一個數組，以字元形式保存，採用靜態huffman編碼對變換數據進行壓縮；採用離散小波變換把原始信號從時間域變換到頻率域，然後對分解得到的高頻系數進行閾值量化處理，對乘以的倍數系數、小波變換的階數、小波變換后的低頻、各級高頻以及原始數據長度、量化后的低頻系數以及保留的高頻系數大小、位置構成一個數組，以字元形式保存，採用動態huffman編碼對這個文件進行壓縮。
  6. On the basis of the finite element analysis of the press - mounting machine, to solve the modeling error of the previous modeling method, a new mixed - model method using the spring element and thin - layer solid element was introduced in this thesis. an experiment designed to test the interface static stiffness was carried out and the needed modeling datum was obtained

    在對壓裝機進行了整體建模模擬的基礎上，針對壓裝機整體建模存在的誤差問題，本文提出了一種改進的彈簧單元和薄層實體單元混合建模的方法，並依此設計了螺栓結合面靜剛度測試試驗，通過試驗獲得了建模所需的參數。
  7. On the basement, the paper deeply researches the following problems : digital signal process, arithmetic model, error analyzing and so on. firstly, considering the single probe system ' s datum error, the paper puts forward a double probe system and modifies the datum error

    第一，針對內螺紋單針測量系統存在的定位基準誤差，提出了雙針測量的體系結構，並利用雙測針結構對定位誤差進行修正。
  8. Normal behavior and anomaly are distinguished on the basis of observed datum such as network flows and audit records of host. when a training sample set is unlabelled and unbalanced, attack detection is treated as outlier detection or density estimation of samples and one - class svm of hypersphere can be utilized to solve it. when a training sample set is labelled and unbalanced so that the class with small size will reach a much high error rate of classification, a weighted svm algorithm, i

    針對訓練樣本是未標定的不均衡數據集的情況，把攻擊檢測問題視為一個孤立點發現或樣本密度估計問題，採用了超球面上的one - classsvm演算法來處理這類問題;針對有標定的不均衡數據集對于數目較少的那類樣本分類錯誤率較高的情況，引入了加權svm演算法-雙v - svm演算法來進行異常檢測;進一步，基於1998darpa入侵檢測評估數據源，把兩分類svm演算法推廣至多分類svm演算法，並做了多分類svm演算法性能比較實驗。
  9. The error reasons of low resistance measurement are studied, the theory of removing line resistance error proves to be right with time - domain analysis method and frequency - domain analysis method, and the results proved to be true by the experiment datum with the statistics method

    研究了低電阻檢測時產生系統誤差的原因，分別用時域和復頻域兩種方法分析了在低電阻檢測時消除附加電阻誤差的原理；並通過兩組實驗數據用數理統計的方法驗證了附加電阻誤差影響已經被消除的結論。
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