Auto-Regressive Integrated Moving-Average Machine Learning for Damage Identification of Steel Frames

Auto-Regressive Integrated Moving-Average Machine Learning for Damage Identification of Steel Frames

Auto-regressive (AR) time series (TS) models are useful for structural damage detection in vibration-based structural health monitoring (SHM). However, certain limitations, e.g., non-stationarity and subjective feature selection, have reduced its wide-spread use. With increasing trends in machine le...

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Bibliographic Details
Main Authors: Yuqing Gao, Khalid M. Mosalam, Yueshi Chen, Wei Wang, Yiyi Chen
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Applied Sciences
Subjects:
auto-regressive modeling
damage identification
machine learning
steel braced frame
structural health monitoring
time series analysis
Online Access:https://www.mdpi.com/2076-3417/11/13/6084

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