在可变负载下进行结构健康监测的应变虚拟传感
Bartomeu Mora1,2, Jon Basurko1, Iman Sabahi3,4
1Ikerlan Technology Research Centre, Basque Research and Technology Alliance (BRTA), 20500 Arrasate-Mondragon, Spain.
Sensors (Basel, Switzerland)
|July 11, 2023
概括
虚拟传感使用真实传感器数据和有限元 (FE) 模型准确估计未测量的点的应变. 像增强的卡尔曼波器和最小方形应变估计等算法对于结构健康监测是有效的.
科学领域:
- 结构工程 结构工程
- 计算力学 计算力学 计算力学
- 传感器技术 传感器技术
背景情况:
- 虚拟传感通过使用系统模型和真实传感器输入来估计未测量的位置的数据.
- 精确的菌株估计对于结构健康监测和性能评估至关重要.
- 风力轮机结构易受各种动力作用的影响,需要强大的监测技术.
研究的目的:
- 为了评估不同虚拟传感算法的性能,用于风力轮机原型中的应变估计.
- 为了确定最佳的传感器配置,在各种负载条件下准确估计应变.
- 为了比较随机 (卡尔曼波器,增强卡尔曼波器) 和确定性 (最小平方) 算法.
主要方法:
- 实现虚拟传感算法,包括卡尔曼波器,增强卡尔曼波器和最小方形应变估计.
- 使用一台风力轮机原型,受到由惯性摇器产生的受控的多方向力.
- 测试各种输入传感器配置,并分析未测量的点估计的应变数据的准确性.
主要成果:
- 即使在未知的负载条件下,也可以在未测量的点上准确地估计应变.
- 增强的卡尔曼波器和最小正方形应变估计,结合 modal 截断和扩展,显示出高效率.
- 最佳的传感器配置显著影响虚拟传感结果的准确性.
结论:
- 虚拟传感是一种可行的技术,用于监测风力轮机等复杂结构的结构健康状况.
- 选择算法和传感器配置对于实现可靠的应变估计至关重要.
- 当FE模型与适当的虚拟传感算法相结合时,可以提供对结构行为有价值的见解.
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