Unsupervised learning-based damage assessment of full-scale civil structures under long-term and short-term monitoring
Author:
Publisher
Elsevier BV
Subject
Civil and Structural Engineering
Reference59 articles.
1. Structural Health Monitoring: A Machine Learning Perspective;Farrar,2013
2. Emerging artificial intelligence methods in structural engineering;Salehi;Eng Struct.,2018
3. A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications;Avci;Mech Syst Sig Process.,2021
4. Computer vision for SHM of civil infrastructure: From dynamic response measurement to damage detection–A review;Feng;Eng Struct.,2018
5. A comprehensive review of self-powered sensors in civil infrastructure: State-of-the-art and future research trends;Salehi;Eng Struct.,2021
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