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dynamic measuring data
相关语句
  动态测量数据
     The dynamic measurement is a non stationary random process varying with the measuring time. The dynamic measuring data have the characteristics of time variation, randomness, correlation and dynamic.
     动态测量是随测量时间而变化的非平稳随机过程 ,动态测量数据具有时变性、随机性、相关性和动态性四个基本特性。
短句来源
     A long grating dynamic measurement system is taken as the research subject. An error prediction grey model is set up based on the obtained dynamic measuring data, and interpolating prediction of the dynamic measuring error of each discrete point is performed.
     且进一步以长光栅动态测量系统为对象 ,将所获得的动态测量数据建立误差预报灰色模型 ,并对离散点进行动态测量误差插值预报。
短句来源
  “dynamic measuring data”译为未确定词的双语例句
     The variation trend estimation of dynamic measuring data with wavelets analysis
     小波分析法用于动态测试数据变化趋势预测
短句来源
     Analysis of the dynamic measuring data of a helicopter RCS
     某型直升机动态RCS测量数据分析
短句来源
     The user interface have powerful function, such as parameters setting, dynamic measuring, data processing, data analyzing, data saving, printout and so on.
     基于LabVIEW编写了友好的用户界面,实现了参数设置、动态测量、数据处理、数据存储、打印输出等功能。
短句来源
     Finally the dynamic measuring data by length of data segment N=30 obtained from practical engineering are estimated by using Marple method. The practice results analyzed with computer are illustrated as an example and compared with traditional spectral estima- tion method,then several conclusions are drawed.
     最后,对实际工程中得到的数据段长度 N=30的动态测试数据用 Marple 方法进行了谱估计,举出了计算机的实际分析结果,并与应用经典谱估计方法的分析结果作了比较,得出了几条结论。
短句来源
  相似匹配句对
     Dynamic
     地方科技动态
短句来源
     The Design of Dynamic Level Measuring
     特种动态物位测量方法的设计
短句来源
     DYNAMIC
     动态
短句来源
     A Dynamic Parameter Measuring Instrument
     动态参数测量仪
短句来源
     The Improved Algorithm for Dynamic Data and its Application in Measuring
     动态数据DFT的改进算法及其在测量中的应用
短句来源
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This paper presents the limitations of FFT method used frequently as a means of spectral analysis in dynamic measurement,and describes in detail a modern spectral estimation method suitable for short time series data segment—— Marple method of autoregressive spectrum estimation which is used as a means in Spectral analysis for random data of dynamic measurement.The charaeteristics between Marple and the other maximum entropy spectral estimation methods are compared with one another.The principle of Marple method...

This paper presents the limitations of FFT method used frequently as a means of spectral analysis in dynamic measurement,and describes in detail a modern spectral estimation method suitable for short time series data segment—— Marple method of autoregressive spectrum estimation which is used as a means in Spectral analysis for random data of dynamic measurement.The charaeteristics between Marple and the other maximum entropy spectral estimation methods are compared with one another.The principle of Marple method and its block diagram are given.Finally the dynamic measuring data by length of data segment N=30 obtained from practical engineering are estimated by using Marple method.The practice results analyzed with computer are illustrated as an example and compared with traditional spectral estima- tion method,then several conclusions are drawed.

提出了动态测试中常用的 FFT 法对测试数据进行谱分析的局限性,并评述了一种适于短时序列数据段的现代谱估计法——自回归谱估计的 Marple 法,以对动态测试随机数据进行谱估计分析。文中把 Marple 法与其他最大熵谱估计方法进行了特性比较,论述了 Marple 法的原理,给出了程序框图。最后,对实际工程中得到的数据段长度 N=30的动态测试数据用 Marple 方法进行了谱估计,举出了计算机的实际分析结果,并与应用经典谱估计方法的分析结果作了比较,得出了几条结论。

The dynamic measurement is a non stationary random process varying with the measuring time. The dynamic measuring data have the characteristics of time variation, randomness, correlation and dynamic. The series of dynamic measuring errors of the predicting correction of real time errors of gray model is also a random process and has these four basic characteristics. Therefore, it is proposed that the evaluation of predicting values of the gray model's errors must be performed on the...

The dynamic measurement is a non stationary random process varying with the measuring time. The dynamic measuring data have the characteristics of time variation, randomness, correlation and dynamic. The series of dynamic measuring errors of the predicting correction of real time errors of gray model is also a random process and has these four basic characteristics. Therefore, it is proposed that the evaluation of predicting values of the gray model's errors must be performed on the basis of the propagation mode and extent of the errors within the system. Furthermore, using the method of mean square deviation parameters of the evaluation of static measuring errors, the mean square deviation parameters of the gray system is obtained as the method to evaluate the accuracy of error prediction.

动态测量是随测量时间而变化的非平稳随机过程 ,动态测量数据具有时变性、随机性、相关性和动态性四个基本特性。灰色模型实时误差预报修正的动态测量误差序列同样为随机过程 ,也具有上述基本特性。据此提出灰色模型误差预测值的评估应以误差在系统内的传播方式与程度来进行 ,并借鉴静态测量误差评定的均方差参数方法 ,推算出灰色系统均方差参数 ,作为评定误差预测值精度的方法

In this paper, the feasibility of applying the grey model to obtaining the interpolation in dynamic measurement is analyzed, and a method is put forward to make interpolating prediction using the grey prediction model derived from the whitening of dynamic measurement errors according to the principles of grey modeling theory. A long grating dynamic measurement system is taken as the research subject. An error prediction grey model is set up based on the obtained dynamic measuring data, and interpolating...

In this paper, the feasibility of applying the grey model to obtaining the interpolation in dynamic measurement is analyzed, and a method is put forward to make interpolating prediction using the grey prediction model derived from the whitening of dynamic measurement errors according to the principles of grey modeling theory. A long grating dynamic measurement system is taken as the research subject. An error prediction grey model is set up based on the obtained dynamic measuring data, and interpolating prediction of the dynamic measuring error of each discrete point is performed. It is proved by practice that the grey model interpolation is correct and effective.

根据灰色建模机理和特点 ,分析动态测量中灰色模型插值的可行性 ,提出动态测量误差白化生成的灰色预测模型用于插值预报的方法。且进一步以长光栅动态测量系统为对象 ,将所获得的动态测量数据建立误差预报灰色模型 ,并对离散点进行动态测量误差插值预报。实践证明 ,灰色模型插值是正确的和有效的

 
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