结构健康监测系统故障安全传感器分布的改进

IF 2.4 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE DataCentric Engineering Pub Date : 2022-09-07 DOI:10.1017/dce.2022.27
Tingna Wang, R. Barthorpe, D. Wagg, K. Worden
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引用次数: 0

摘要

摘要传感器布局优化(SPO)通常应用于结构健康监测传感器系统的设计过程中,以收集有效的数据。然而,传感器的故障可能会显著影响整个系统的预期性能。因此,有必要研究考虑传感器故障可能性的最佳传感器布置。在本文中,研究的重点是给出一个故障安全传感器分布的SPO,其子分布仍然具有良好的性能。还将研究在同一位置放置多个传感器的故障安全传感器分布的性能。所采用的数据集包括滑翔机机翼一系列测试的模态形状和相应的结构状态标签。使用遗传算法搜索传感器部署,并通过穷举搜索验证部分结果。研究了两种类型的优化目标,一种用于模态识别,另一种用于损伤识别。结果表明,所提出的故障安全传感器优化方法有利于平衡传感器故障前后的系统性能。
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On improved fail-safe sensor distributions for a structural health monitoring system
Abstract Sensor placement optimization (SPO) is usually applied during the structural health monitoring sensor system design process to collect effective data. However, the failure of a sensor may significantly affect the expected performance of the entire system. Therefore, it is necessary to study the optimal sensor placement considering the possibility of sensor failure. In this article, the research focusses on an SPO giving a fail-safe sensor distribution, whose sub-distributions still have good performance. The performance of the fail-safe sensor distribution with multiple sensors placed in the same position will also be studied. The adopted data sets include the mode shapes and corresponding labels of structural states from a series of tests on a glider wing. A genetic algorithm is used to search for sensor deployments, and the partial results are validated by an exhaustive search. Two types of optimization objectives are investigated, one for modal identification and the other for damage identification. The results show that the proposed fail-safe sensor optimization method is beneficial for balancing the system performance before and after sensor failure.
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来源期刊
DataCentric Engineering
DataCentric Engineering Engineering-General Engineering
CiteScore
5.60
自引率
0.00%
发文量
26
审稿时长
12 weeks
期刊最新文献
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