Practical implementation of structural health monitoring in multi-story buildings

A Sivasuriyan, DS Vijayan, W Górski, Ł Wodzyński… - Buildings, 2021 - mdpi.com
This study investigated operational and structural health monitoring (SHM) as well as
damage evaluations for building structures. The study involved damage detection and the …

Temperature effect on vibration properties and vibration-based damage identification of bridge structures: A literature review

J Luo, M Huang, Y Lei - Buildings, 2022 - mdpi.com
In civil engineering structures, modal changes produced by environmental conditions,
especially temperature, can be equivalent to or greater than the ones produced by damage …

Machine learning-based acoustic emission technique for corrosion-induced damage monitoring in reinforced concrete structures

A Thirumalaiselvi, S Sasmal - Engineering Applications of Artificial …, 2024 - Elsevier
Early-stage detection of corrosion in reinforcement embedded inside concrete, generally
considered as the major problem in structures under extreme marine environments, can …

Civil infrastructure damage and corrosion detection: An application of machine learning

HS Munawar, F Ullah, D Shahzad, A Heravi, S Qayyum… - Buildings, 2022 - mdpi.com
Automatic detection of corrosion and associated damages to civil infrastructures such as
bridges, buildings, and roads, from aerial images captured by an Unmanned Aerial Vehicle …

Damage localization in composite plates using wavelet transform and 2-D convolutional neural networks

G Azuara, M Ruiz, E Barrera - Sensors, 2021 - mdpi.com
Nondestructive evaluation of carbon fiber reinforced material structures has received special
attention in the last decades. Usage of Ultrasonic Guided Waves (UGW), particularly Lamb …

Health monitoring and fault detection in photovoltaic systems in central greece using artificial neural networks

E Roumpakias, T Stamatelos - Applied Sciences, 2022 - mdpi.com
Featured Application The health monitoring of a photovoltaic park is essential for a number
of reasons, including early action to safeguard the profitability of investment and the timely …

Two-stage damage identification method based on fractal theory and whale optimization algorithm

M Huang, Z Wan, X Cheng, Z Xu… - Advances in …, 2022 - journals.sagepub.com
Structural damage identification based on time domain method of vibration response has
been widely developed in the recent decades, however, it still confronts some difficulties …

A Data-Driven Based Response Reconstruction Method of Plate Structure with Conditional Generative Adversarial Network

H Zhang, C Xu, J Jiang, J Shu, L Sun, Z Zhang - Sensors, 2023 - mdpi.com
Structural-response reconstruction is of great importance to enrich monitoring data for better
understanding of the structural operation status. In this paper, a data-driven based structural …

Improved stochastic configuration network for bridge damage and anomaly detection using long-term monitoring data

J Yang, D Liu, L Zhao, X Yang, R Li, S Jiang, J Li - Information Sciences, 2025 - Elsevier
Abstract The Stochastic Configuration Network (SCN) is a powerful incremental learning
algorithm that dynamically generates network structures during training. However, as a fully …

Guided Wave Based Early Stage Debonding Detection and Assessment in Stiffened Panel Using Machine Learning with Deep Auto encoded Features

A Kumar, S Banerjee, A Guha - Journal of …, 2024 - asmedigitalcollection.asme.org
Debonding between stiffener and base plate is a very common type of damage in stiffened
panels. Numerous efforts have been made for debonding assessment in the stiffened panel …