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Reduction of Measurement Time in BOTDA Sensors Using WaveletShrinkage

机译:使用小游灯分号减少BOTDA传感器中的测量时间

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A new method based on wavelet shrinkage is presented showing decreased measurement time for Brillouin optical time-domain analysis (BOTDA) sensors. In BOTDA sensors, the data acquired from measurements is contaminated with multiple sources of noise and requires enhancement in order to extract the Brillouin gain spectrum (BGS) and find the strain and temperature. Conventional BOTDA sensors use the very slow ensemble averaging technique which requires many acquisitions of each time-domain waveform. In this paper, we enhance time-domain waveforms using wavelet shrinkage before applying ensemble averaging. This modification yields a 92% reduction in the number of waveform acquisitions needed for a given measurement accuracy. Experimental results confirm the accuracy of the measurement based on wavelet shrinkage and show that the proposed sensor has one of the shortest measurement times amongst BOTDA sensors.
机译:提出了一种基于小波收缩的新方法,显示了布里渊光学时域分析(BOTDA)传感器的测量时间降低。在BOTDA传感器中,从测量中获取的数据被多次噪声污染,并且需要增强以提取布里渊增益谱(BGS)并找到应变和温度。传统的BOTDA传感器使用非常慢的集合平均技术,该技术需要每个时域波形的获取许多采集。在本文中,我们在应用集合平均之前使用小波收缩来增强时域波形。该修改产生给定测量精度所需的波形采集的数量减少92%。实验结果证实了基于小波收缩的测量的准确性,并表明所提出的传感器具有BOTDA传感器中最短的测量时间之一。

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