一个最优的形状的传感器阵列导出
Marco Dibiase1, Luca De Marchi2
1Department of Computer Science and Engineering, University of Bologna, 40136 Bologna, Italy.
Micromachines
|June 28, 2023
概括
这项研究优化了使用形状传感器进行结构健康监测的到达方向 (DoA) 估计. 新型的形状传感器最佳集群 (SS-OC) 设计改善了噪音环境中的声源定位.
科学领域:
- 结构健康监测 (SHM) 是一种结构健康监测.
- 声源定位声源定位的位置
- 波传播分析 波传播分析
背景情况:
- 引导波 (GW) 的到达方向 (DoA) 估计对于在薄壁结构中定位声源 (AS) 是至关重要的.
- 现有的方法面临着未知的波速和噪音测量的有限时间延迟的挑战.
研究的目的:
- 在平面集群中设计压力传感器的最佳安排和形状,以提高DoA估计性能.
- 在受噪声影响的测量中最大限度地减少DoA估计的差异.
主要方法:
- 基于测量理论的最佳性标准的推导.
- 应用变量计算来最大限度地减少DoA的变量.
- 使用错误扩散来实现所需的时间延迟关系和空间过的重塑程序的开发.
主要成果:
- 导出一个90°部门内的三个传感器集群的最佳时间延迟-DoA关系.
- 介绍了具有调制压载功能的成形传感器最佳集群 (SS-OC).
- 数字模拟表明SS-OC的DoA估计性能与传统的压片盘式传感器相比有所改善.
结论:
- 拟议的SS-OC设计显著提高了在SHM应用中DoA估计的准确性.
- 错误扩散技术有效地塑造传感器以实现最佳性能.
- 这项研究为设计传感器阵列提供了一种新的方法,以改善结构监控.
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