Study on Abnormal Pattern Detection Method for In-Service Bridge Based on Lasso Regression

Study on Abnormal Pattern Detection Method for In-Service Bridge Based on Lasso Regression

The real-time operational safety of in-service bridges has received wide attention in recent years. By fully utilizing the health monitoring data of bridges, a structural abnormal pattern detection method based on data mining can be established to effectively ensure the safety of in-service bridges....

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Huaqiang Zhong, Hao Hu, Ning Hou, Ziyuan Fan
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: MDPI AG 2024-03-01
Sarja:Applied Sciences
Aiheet:
bridge engineering
structural health monitoring
Lasso regression
data analysis
abnormal pattern detection
deck pavement
Linkit:https://www.mdpi.com/2076-3417/14/7/2829

Internet

https://www.mdpi.com/2076-3417/14/7/2829

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