Bridge Structure Deformation Prediction Based on GNSS Data Using Kalman-ARIMA-GARCH Model

Bridge Structure Deformation Prediction Based on GNSS Data Using Kalman-ARIMA-GARCH Model

Bridges are an essential part of the ground transportation system. Health monitoring is fundamentally important for the safety and service life of bridges. A large amount of structural information is obtained from various sensors using sensing technology, and the data processing has become a challen...

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Bibliographic Details
Main Authors: Jingzhou Xin, Jianting Zhou, Simon X. Yang, Xiaoqing Li, Yu Wang
Format: Article
Language:English
Published: MDPI AG 2018-01-01
Series:Sensors
Subjects:
bridge engineering
deformation prediction
structural health monitoring
bridge sensor data
Online Access:http://www.mdpi.com/1424-8220/18/1/298

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