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The influence of frequency content on the performance of artificial neural network–based damage detection systems tested on numerical and experimental bridge data
Structural Health Monitoring ( IF 5.7 ) Pub Date : 2020-06-10 , DOI: 10.1177/1475921720924320
Ana C Neves 1 , Ignacio González 1 , Raid Karoumi 1 , John Leander 1
Affiliation  

The method herein proposed provides a novel perspective about data processing within structural health monitoring, which is essential for automated real-time monitoring and assessment of civil engi...

中文翻译:

频率内容对基于人工神经网络的损伤检测系统性能的影响,在数值和实验桥梁数据上进行测试

本文提出的方法为结构健康监测中的数据处理提供了一个新的视角,这对于土木工程的自动实时监测和评估至关重要。
更新日期:2020-06-10
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