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基于协整理论的结构塑性损伤预警与实时传感系统

Structural Plastic Damage Warning and Real-Time Sensing System Based on Cointegration Theory.

作者信息

Gao Qiang, Huo Junzhou, Wang Youfu, Wang Xiaotian, Wang Chongru

机构信息

School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China.

出版信息

Sensors (Basel). 2024 Sep 13;24(18):5961. doi: 10.3390/s24185961.

DOI:10.3390/s24185961
PMID:39338705
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11435944/
Abstract

Structural damage can affect the long-term operation of equipment. Real-time damage warning for structures can effectively avoid accidents caused by structural damage. In this paper, a real-time warning method of structural plastic damage based on the cointegration theory is proposed. This method calculates the cointegration relationship between the strain signals at different measuring points, and the stability of the strain signal relationships is also evaluated. The problem of inaccurate detection caused by the error of strain measurement and environmental influence can be eliminated by the comprehensive judgment of strain between asymmetrical measuring points. A real-time damage sensing system is developed in this paper. In order to improve the real-time and practicability of the system, this paper proposes and determines the residual warning coefficient by analyzing the proportion of the strain residuals exceeding the residual threshold. The research on this sensing system has certain value for the engineering application of damage monitoring methods.

摘要

结构损伤会影响设备的长期运行。对结构进行实时损伤预警能够有效避免由结构损伤引发的事故。本文提出了一种基于协整理论的结构塑性损伤实时预警方法。该方法计算不同测量点处应变信号之间的协整关系，并评估应变信号关系的稳定性。通过非对称测量点之间应变的综合判断，可以消除因应变测量误差和环境影响导致的检测不准确问题。本文开发了一种实时损伤传感系统。为提高系统的实时性和实用性，本文通过分析应变残差超过残差阈值的比例，提出并确定了残余预警系数。对该传感系统的研究对于损伤监测方法的工程应用具有一定价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3797/11435944/8a742f377648/sensors-24-05961-g012.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3797/11435944/ef850b9be6cd/sensors-24-05961-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3797/11435944/391131171634/sensors-24-05961-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3797/11435944/524df9afcbf6/sensors-24-05961-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3797/11435944/a96799acf659/sensors-24-05961-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3797/11435944/a337f29ef712/sensors-24-05961-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3797/11435944/ecdb3966eebe/sensors-24-05961-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3797/11435944/505e77d4593d/sensors-24-05961-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3797/11435944/8a742f377648/sensors-24-05961-g012.jpg

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2
Deep neural network-based structural health monitoring technique for real-time crack detection and localization using strain gauge sensors.基于深度神经网络的应变片传感器实时裂纹检测与定位的结构健康监测技术。
Sci Rep. 2022 Nov 23;12(1):20204. doi: 10.1038/s41598-022-24269-4.
3
Development of a Wireless Corrosion Detection System for Steel-Framed Structures Using Pulsed Eddy Currents.
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Sensors (Basel). 2021 Dec 8;21(24):8199. doi: 10.3390/s21248199.
4
Real-Time Life-Cycle Monitoring of Composite Structures Using Piezoelectric-Fiber Hybrid Sensor Network.使用压电纤维混合传感器网络对复合材料结构进行实时生命周期监测
Sensors (Basel). 2021 Dec 8;21(24):8213. doi: 10.3390/s21248213.
5
Analytical and Experimental Study of Fatigue-Crack-Growth AE Signals in Thin Sheet Metals.薄板金属中疲劳裂纹扩展声发射信号的分析与实验研究
Sensors (Basel). 2020 Oct 15;20(20):5835. doi: 10.3390/s20205835.
6
Piezoelectric Sensing Techniques in Structural Health Monitoring: A State-of-the-Art Review.压电传感技术在结构健康监测中的应用：研究现状综述。
Sensors (Basel). 2020 Jul 3;20(13):3730. doi: 10.3390/s20133730.
7
Data-Driven Structural Health Monitoring and Damage Detection through Deep Learning: State-of-the-Art Review.基于数据驱动的深度学习的结构健康监测与损伤检测：研究现状综述。
Sensors (Basel). 2020 May 13;20(10):2778. doi: 10.3390/s20102778.
8
Review of Structural Health Monitoring Methods Regarding a Multi-Sensor Approach for Damage Assessment of Metal and Composite Structures.关于金属和复合材料结构损伤评估的多传感器方法的结构健康监测方法综述。
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9
Piezoelectric Transducer-Based Structural Health Monitoring for Aircraft Applications.基于压电换能器的飞机结构健康监测。
Sensors (Basel). 2019 Jan 28;19(3):545. doi: 10.3390/s19030545.
10
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