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基于统计分析/中心极限定理提高温度测量的准确性和精密度。

Accuracy and Precision Improvement of Temperature Measurement Using Statistical Analysis/Central Limit Theorem.

机构信息

Research Group on Instrumentation and Control in the Study of Energy and Environment, Department of Electrical Engineering, Federal University of Paraiba, João Pessoa 58051-900, Paraiba, Brazil.

Department of Mechanical Engineering, Federal University of Paraiba, João Pessoa 58051-900, Paraiba, Brazil.

出版信息

Sensors (Basel). 2023 Mar 17;23(6):3210. doi: 10.3390/s23063210.

DOI:10.3390/s23063210
PMID:36991920
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10057107/
Abstract

This paper describes a method for increasing the accuracy and precision of temperature measurements of a liquid based on the central limit theorem. A thermometer immersed in a liquid exhibits a response with determined accuracy and precision. This measurement is integrated with an instrumentation and control system that imposes the behavioral conditions of the central limit theorem (CLT). The oversampling method exhibited an increasing measurement resolution. Through periodic sampling of large groups, an increase in the accuracy and formula of the increase in precision is developed. A measurement group sequencing algorithm and experimental system were developed to obtain the results of this system. Hundreds of thousands of experimental results are obtained and seem to demonstrate the proposed idea's validity.

摘要

本文描述了一种基于中心极限定理提高液体温度测量精度和准确性的方法。浸入液体中的温度计具有确定的精度和准确性的响应。该测量与仪器控制系统相结合,该系统施加了中心极限定理(CLT)的行为条件。过采样方法显示出了更高的测量分辨率。通过对大量数据的周期性采样,可以得出提高精度的公式。开发了一种测量组排序算法和实验系统来获得该系统的结果。获得了数十万次的实验结果,似乎证明了所提出的想法的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71b8/10057107/0da9f4dbbf10/sensors-23-03210-g015.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71b8/10057107/f6f0ca4be294/sensors-23-03210-g005.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71b8/10057107/20be092338bb/sensors-23-03210-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71b8/10057107/5bc8d8b6f84c/sensors-23-03210-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71b8/10057107/981d652ab10e/sensors-23-03210-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71b8/10057107/12863f5df49b/sensors-23-03210-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71b8/10057107/40f91dac77b9/sensors-23-03210-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71b8/10057107/d20e72b77812/sensors-23-03210-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71b8/10057107/f1b9e2d59ee3/sensors-23-03210-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71b8/10057107/0da9f4dbbf10/sensors-23-03210-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71b8/10057107/a3c0d4f9a89f/sensors-23-03210-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71b8/10057107/631c230b8619/sensors-23-03210-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71b8/10057107/d592e38c2348/sensors-23-03210-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71b8/10057107/fc21f4804f25/sensors-23-03210-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71b8/10057107/f6f0ca4be294/sensors-23-03210-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71b8/10057107/aa3d2572471c/sensors-23-03210-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71b8/10057107/888b19175d88/sensors-23-03210-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71b8/10057107/20be092338bb/sensors-23-03210-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71b8/10057107/5bc8d8b6f84c/sensors-23-03210-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71b8/10057107/981d652ab10e/sensors-23-03210-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71b8/10057107/12863f5df49b/sensors-23-03210-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71b8/10057107/40f91dac77b9/sensors-23-03210-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71b8/10057107/d20e72b77812/sensors-23-03210-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71b8/10057107/f1b9e2d59ee3/sensors-23-03210-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71b8/10057107/0da9f4dbbf10/sensors-23-03210-g015.jpg

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