Toward data anomaly detection for automated structural health monitoring: Exploiting generative adversarial nets and autoencoders

J Mao, H Wang, BF Spencer Jr - Structural Health Monitoring, 2021 - journals.sagepub.com
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 …
被引用次数：206 相关文章

Toward data anomaly detection for automated structural health monitoring: Exploiting generative adversarial nets and autoencoders

J Mao, H Wang, BF Spencer - Structural Health Monitoring, 2021 - experts.illinois.edu
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 …
[PDF] researchgate.net

[PDF][PDF] Toward data anomaly detection for automated structural health monitoring: Exploiting generative adversarial nets and autoencoders

J Mao, H Wang, BFS Jr - Structural Health Monitoring, 2020 - researchgate.net
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 …
[PDF] researchgate.net

[PDF][PDF] Toward data anomaly detection for automated structural health monitoring: Exploiting generative adversarial nets and autoencoders

J Mao, H Wang, BFS Jr - Structural Health Monitoring, 2020 - researchgate.net
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 …