Separation of Temperature-Induced Response for Bridge Long-Term Monitoring Data Using Local Outlier Correction and Savitzky–Golay Convolution Smoothing

Separation of Temperature-Induced Response for Bridge Long-Term Monitoring Data Using Local Outlier Correction and Savitzky–Golay Convolution Smoothing

This study proposed a separation method to identify the temperature-induced response from the long-term monitoring data with noise and other action-induced effects. In the proposed method, the original measured data are transformed using the local outlier factor (LOF), and the threshold of the LOF i...

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Bibliographic Details
Main Authors: Wei Zhang, Hongyin Yang, Hongyou Cao, Xiucheng Zhang, Aixin Zhang, Nanhao Wu, Zhangjun Liu
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Sensors
Subjects:
structural health monitoring
bridge
temperature-induced response
signal separation
local outlier factor
optimization algorithm
Online Access:https://www.mdpi.com/1424-8220/23/5/2632

Internet

https://www.mdpi.com/1424-8220/23/5/2632

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