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sensor characteristic in Chinese

Pronunciation:
How to pronounce "sensor characteristic""sensor characteristic" in a sentence

Translationmobile phoneMobile

  • 傳感器特性

Examples

  • Study on sensor characteristics of cfrp laminates
    應(yīng)變傳感特性研究
  • Whether the characteristic of the sensor is good brings significant effects on the whole fcs . thus it is essential to do the sensor characteristic compensation to make up for the measure error
    傳感器性能的優(yōu)劣對整個飛控系統(tǒng)產(chǎn)生很大的影響,因此有必要對傳感器性能進行補償,彌補測量誤差。
  • Constant sensor characteristics , highest product quality , centralised processing and flexible logistics services have won over , among others , one of the leading manufacturers of industrial trucks
    我們穩(wěn)定的傳感器特性最高的產(chǎn)品質(zhì)量統(tǒng)一化的處理以及靈活的后勤服務(wù)，已經(jīng)贏得了頂級工業(yè)卡車生產(chǎn)商的信賴。
  • Therefore , aiming at the existent static and dynamic error of fcs sensor , the sensor characteristic compensation subunit is designed in the environment of labview using vi technique . the sensor signal disposal platform is also developed to realize the time domain measurement , frequency domain analysis , long - distance transfer and network release , etc . firstly , the static characteristic and nonlinear error of the sensor are analyzed
    為此,本文針對飛控系統(tǒng)傳感器存在的靜態(tài)和動態(tài)誤差,利用虛擬儀器技術(shù)在labview環(huán)境下設(shè)計了傳感器性能補償環(huán)節(jié),開發(fā)了傳感器信號處理平臺,對信號進行時域測量、頻譜分析、小波消噪、遠(yuǎn)程傳輸和網(wǎng)絡(luò)發(fā)布等。
  • The calibration and temperature compensation function are implemented through two neural networks modeling . the direct modeling technology enables an estimate of the nonlinear sensor characteristics , whereas the inverse modeling technology estimates the applied pressure . fourth , after comparing the pressure fusion performance with the original adapted neural network and slfm neural network , the simulated results show the idarbf neural
    然后將idarbf神經(jīng)網(wǎng)絡(luò)應(yīng)用于壓阻式壓力傳感器,通過正向建模估計傳感器的非線性特性,反向建模估計融合壓力,并且與原自適應(yīng)rbf神經(jīng)網(wǎng)絡(luò)和slfm神經(jīng)網(wǎng)絡(luò)的實現(xiàn)方法作了壓力融合性能比較,仿真結(jié)果表明本文提出的idarbf神經(jīng)網(wǎng)絡(luò)具有更好的非線性校正能力。
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