• The aim of this method is to examine the uniformity of performance of the high-pressure transducers under the action of high dynamic pressures.

    该法的目的是为了检验高压传感器在高动态压力作用下工作一致性的性能。

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  • Using these transducers in the automatic observing system for the dynamic states of the brine in Qarhan salt lake, good results have been achieved.

    这些传感器用于察尔汗盐湖卤水动态自动观测系统中,取得了满意的效果。

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  • At that time, transducers to measure dynamic force were primitive and the analog nature of the approach yielded a time consuming process that was not practical for most situations.

    彼时,测量动态力的传感器原始而落后,方法的模拟属性使得测量非常耗时。这对于大多数情况,是不现实的。

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  • In this paper, a dynamic calibration method using a finite duration impulse excitation source is presented, which can be used to calibrate the frequency response of high-pressure transducers (HPT).

    本文提出了用任意时限脉冲作激励源的一种动态校准方法,用于校准动压传感器的频响特性。

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  • The correction methods and equations can be used for dynamic and quasi-static calibrations of pres - sure, force and other transducers in transient excited methods of step or ramp function inputs.

    这一修正方法及修正公式可广泛应用于凡是用瞬态激励法(阶跃函数输入和斜坡函数输入)对压力传感器、力传感器以及其它各种传感器的动态和准静态标定中。

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  • A new approach, using dynamic link library to correct the non-linear characteristics of transducers, is proposed.

    提出一种基于动态链接库技术的传感器非线性特性校正新方法。

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  • An inertial measurement method for bridge dynamic deflection with seismic low frequency vibration transducers was promoted.

    以惯性测量原理,用地震式低频振动传感器测量桥梁动挠度。

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  • The dynamic characteristics of s shape force transducers is tested.

    本文对s型测力传感器的动态特性进行了研究。

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  • A dynamic compensating method for transducers is presented based on functional link artificial neural networks (FLANN) inverse system constructed by least squares-support vector machine (LS-SVM).

    提出一种用最小二乘支持向量机(LS - SVM)构造函数链接型神经网络(FLANN)逆系统的传感器动态补偿新方法。

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  • A dynamic compensating method for transducers is presented based on functional link artificial neural networks (FLANN) inverse system constructed by least squares-support vector machine (LS-SVM).

    提出一种用最小二乘支持向量机(LS - SVM)构造函数链接型神经网络(FLANN)逆系统的传感器动态补偿新方法。

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