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应用压电薄膜传感器和模态护照对串联结构进行健康监测。

Health Monitoring of Serial Structures Applying Piezoelectric Film Sensors and Modal Passport.

机构信息

D un D Centrs, LV-1021 Riga, Latvia.

Institute of Materials and Structures, Riga Technical University, LV-1048 Riga, Latvia.

出版信息

Sensors (Basel). 2023 Jan 18;23(3):1114. doi: 10.3390/s23031114.

DOI:10.3390/s23031114
PMID:36772152
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9920276/
Abstract

Health monitoring of critical structures, that form parts of serial operating objects, is a pressing task. The Operational Modal Analysis (OMA) techniques could be the optimal solution. An inexpensive measurement system, such as the OMA, uses a lot of sensors for structural response assessment. The health monitoring of serial structures has to also consider possible deviations between samples. A solution providing the OMA application includes the compact measurement system based on piezoelectric film sensors and modal passport (MP) techniques. For validation of the proposed approach, a series of five similar composite cylinders, with a network of piezoelectric film sensors, was used. Applying modal tests on the specimens, and using OMA with MP methods, the set of typical modal parameters was determined and analyzed. The results of the study confirmed the feasibility of the sensor network and its applicability for structural health monitoring of serial samples using OMA methods. The proven effectiveness of OMA/MP techniques, combined with a sensor network, provides a prototype of intelligent sensor technology, which can be used for health monitoring of structures, including those that are part of an operating facility.

摘要

关键结构的健康监测,这些结构构成了连续运行对象的一部分,是一项紧迫的任务。运营模态分析(OMA)技术可能是最佳解决方案。一种廉价的测量系统,如 OMA,使用大量传感器来评估结构响应。连续结构的健康监测还必须考虑样本之间可能存在的偏差。提供 OMA 应用的解决方案包括基于压电薄膜传感器和模态护照(MP)技术的紧凑型测量系统。为了验证所提出方法的有效性,使用了一系列五个类似的复合材料圆柱体,带有网络的压电薄膜传感器。对试件进行模态试验,并使用带有 MP 方法的 OMA,确定并分析了一组典型的模态参数。研究结果证实了传感器网络的可行性及其在使用 OMA 方法对连续样本进行结构健康监测方面的适用性。证明了 OMA/MP 技术与传感器网络的结合提供了智能传感器技术的原型,可用于结构健康监测,包括作为运行设施一部分的结构。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a819/9920276/a588666687df/sensors-23-01114-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a819/9920276/d3a8ac65a39a/sensors-23-01114-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a819/9920276/ff697a4e3612/sensors-23-01114-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a819/9920276/1c3c99f07fb8/sensors-23-01114-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a819/9920276/ae6bfe54bfb0/sensors-23-01114-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a819/9920276/fe9d3ac0050f/sensors-23-01114-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a819/9920276/2f49e08ab530/sensors-23-01114-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a819/9920276/7d911e723e87/sensors-23-01114-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a819/9920276/3350c24b568b/sensors-23-01114-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a819/9920276/a588666687df/sensors-23-01114-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a819/9920276/d3a8ac65a39a/sensors-23-01114-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a819/9920276/ff697a4e3612/sensors-23-01114-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a819/9920276/1c3c99f07fb8/sensors-23-01114-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a819/9920276/ae6bfe54bfb0/sensors-23-01114-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a819/9920276/fe9d3ac0050f/sensors-23-01114-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a819/9920276/2f49e08ab530/sensors-23-01114-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a819/9920276/7d911e723e87/sensors-23-01114-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a819/9920276/3350c24b568b/sensors-23-01114-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a819/9920276/a588666687df/sensors-23-01114-g009.jpg

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