Long-Short Term Memory Network-Based Monitoring Data Anomaly Detection of a Long-Span Suspension Bridge

Structural health monitoring (SHM) systems have been widely applied in long-span bridges and a large amount of SHM data is continually collected. The harsh environment of sensors installed at structures causes multiple types of anomalies such as outlier, minor, missing, trend, drift, and break in th...

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Detalles Bibliográficos
Autores principales: Zhang, Jianliang, Zhang, Jian, Wu, Zhishen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9415591/
https://www.ncbi.nlm.nih.gov/pubmed/36015806
http://dx.doi.org/10.3390/s22166045

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9415591/
https://www.ncbi.nlm.nih.gov/pubmed/36015806
http://dx.doi.org/10.3390/s22166045

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