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Toward data anomaly detection for automated structural health monitoring: Exploiting generative adversarial nets and autoencoders
Structural Health Monitoring ( IF 6.6 ) Pub Date : 2020-06-07 , DOI: 10.1177/1475921720924601
Jianxiao Mao 1, 2 , Hao Wang 1 , Billie F Spencer 2
Affiliation  

Damage detection is one of the most important tasks for structural health monitoring of civil infrastructure. Before a damage detection algorithm can be applied, the integrity of the data must be e...

中文翻译:

面向自动结构健康监测的数据异常检测:利用生成对抗网络和自动编码器

损伤检测是民用基础设施结构健康监测的最重要任务之一。在应用损坏检测算法之前,必须确保数据的完整性...
更新日期:2020-06-07
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