Damage Detection in Largely Unobserved Structures under Varying Environmental Conditions: An AutoRegressive Spectrum and Multi-Level Machine Learning Methodology

Damage Detection in Largely Unobserved Structures under Varying Environmental Conditions: An AutoRegressive Spectrum and Multi-Level Machine Learning Methodology

Vibration-based damage detection in civil structures using data-driven methods requires sufficient vibration responses acquired with a sensor network. Due to technical and economic reasons, it is not always possible to deploy a large number of sensors. This limitation may lead to partial information...

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Bibliographic Details
Main Authors: Alireza Entezami, Stefano Mariani, Hashem Shariatmadar
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Sensors
Subjects:
structural health monitoring
limited sensors
environmental variability
spectral estimation
Markov Chain Monte Carlo
factor analysis
Online Access:https://www.mdpi.com/1424-8220/22/4/1400

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https://www.mdpi.com/1424-8220/22/4/1400

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