A Monitoring Method for Transmission Tower Foots Displacement Based on Wind-Induced Vibration Response

Q2 Engineering
Zhicheng Liu, Long Zhao, Guanru Wen, Peng Yuan, Qiu Jin
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引用次数: 0

Abstract

The displacement of transmission tower feet can seriously affect the safe operation of the tower, and the accuracy of structural health monitoring methods is limited at the present stage. The application of deep learning method provides new ideas for structural health monitoring of towers, but the current amount of tower vibration fault data is restricted to provide adequate training data for Deep Learning (DL). In this paper, we propose a DT-DL based tower foot displacement monitoring method, which firstly simulates the wind-induced vibration response data of the tower under each fault condition by finite element method. Then the vibration signal visualization and Data Transfer (DT) are used to add tower fault data samples to solve the problem of insufficient actual data quantity. Subsequently, the dynamic response test is carried out under different tower fault states, and the tower fault monitoring is carried out by the DL method. Finally, the proposed method is compared with the traditional online monitoring method, and it is found that this method can significantly improve the rate of convergence and recognition accuracy in the recognition process. The results show that the method can effectively identify the tower foot displacement state, which can greatly reduce the accidents that occurred due to the tower foot displacement.
基于风振响应的输电塔脚位移监测方法
输电塔脚位移严重影响塔的安全运行,现阶段结构健康监测方法的准确性有限。深度学习方法的应用为塔架结构健康监测提供了新的思路,但目前塔架振动故障数据量有限,无法为深度学习(DL)提供足够的训练数据。本文提出了一种基于DT-DL的塔脚位移监测方法,该方法首先用有限元法模拟了塔在各种故障状态下的风振响应数据。然后利用振动信号可视化和数据传输(DT)技术对塔故障数据样本进行添加,解决实际数据量不足的问题。随后,对塔架进行了不同故障状态下的动态响应试验,并采用DL方法对塔架进行故障监测。最后,将提出的方法与传统的在线监测方法进行对比,发现该方法在识别过程中能够显著提高收敛速度和识别精度。结果表明,该方法能有效识别塔脚位移状态,可大大减少因塔脚位移而发生的事故。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
SDHM Structural Durability and Health Monitoring
SDHM Structural Durability and Health Monitoring Engineering-Building and Construction
CiteScore
2.40
自引率
0.00%
发文量
29
期刊介绍: In order to maintain a reasonable cost for large scale structures such as airframes, offshore structures, nuclear plants etc., it is generally accepted that improved methods for structural integrity and durability assessment are required. Structural Health Monitoring (SHM) had emerged as an active area of research for fatigue life and damage accumulation prognostics. This is important for design and maintains of new and ageing structures.
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