Recent Applications of Unsupervised Machine Learning in Structural Health Monitoring

Read full text
Authors: Abdullah Alariyan, Abdulhadi Alzabout, Mohammed Alariyan, Anas Alaryan, Mahmoud Alhashash, Abdulrahman Ahmed, Mohammed Abdulaal, Ahed Habib
Cited by: 1

Abstract

Unsupervised machine learning has recently gained attention in structural health monitoring as engineers seek methods that can interpret large and complex data sets without prior labeling. Traditional diagnostic approaches of... | Find, read and cite all the research you need on Tech Science Press

Fields of Study & Subjects

Structural Health Monitoring Techniques Machine Fault Diagnosis Techniques Infrastructure Maintenance and Monitoring

Publication details

Journal / source
Structural durability & health monitoring
Publisher
Tech Science Press
Volume
20
Issue
3
Pages
1–10
Publication date
1 January 2026
Language
EN