作为相位传感器使用的频率混合器的数字双胞胎
Carlos Pires1, Manuel Abreu2, Isabel Godinho1
1Instituto Português da Qualidade, Rua António Gião, 2, 2829-513 Caparica, Portugal.
Sensors (Basel, Switzerland)
|December 17, 2024
概括
我们开发了一个数字双胞胎,使用频率混合器和机器学习来改善频率传输. 这种方法为光纤信号提供实时相位测量和不确定性.
科学领域:
- 计量学 计量学 计量学
- 光学物理学 光学物理学
- 数据科学数据科学数据科学
背景情况:
- 精确的频率传输对计量学至关重要.
- 光纤容易受到环境因素 (如温度梯度) 引起的相变的影响.
- 传统的频率传输方法需要改进实时准确性和不确定性估计.
研究的目的:
- 开发一个数字双胞胎 (DT),复制频率混合器的使用,以增强频率传输.
- 整合实时传感器数据和机器学习,以改进相位检测.
- 提供实时阶段值测量及其相关的不确定性.
主要方法:
- 使用频率混合器检测光纤传输的光信号的相位变化.
- 从纤维和混合器上的传感器收集实时温度数据.
- 数字双胞胎使用自回归集成移动平均 (ARIMA) 和长短期记忆 (LSTM) 网络进行训练.
- 使用JCGM 100:2008和JCGM 101:2008指南估计了不确定性预算.
主要成果:
- 开发的数字双胞胎成功地复制了频率混合器作为相位计的功能.
- 该系统提供了光学信号之间的实时相差测量.
- 数字双胞胎结合了不确定性分析,提供了一个相值及其不确定性.
- 机器学习算法的集成提高了相变检测的准确性.
结论:
- 数字双胞胎技术和频率混合器的结合为实时相位检测提供了一种新的方法.
- 这种方法提高了对光纤频率传输的准确性,并提供了不确定性量化.
- 开发的系统有可能改善频率标准的实现和传播.
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