[HTML][HTML] A systematic review of data fusion techniques for optimized structural health monitoring

S Hassani, U Dackermann, M Mousavi, J Li - Information Fusion, 2024 - Elsevier
Advancements in structural health monitoring (SHM) techniques have spiked in the past few
decades due to the rapid evolution of novel sensing and data transfer technologies. This …

A literature review: Generative adversarial networks for civil structural health monitoring

F Luleci, FN Catbas, O Avci - Frontiers in Built Environment, 2022 - frontiersin.org
Structural Health Monitoring (SHM) of civil structures has been constantly evolving with
novel methods, advancements in data science, and more accessible technology to address …

Toward a general unsupervised novelty detection framework in structural health monitoring

MH Soleimani‐Babakamali, R Sepasdar… - … ‐Aided Civil and …, 2022 - Wiley Online Library
This study proposes an unsupervised, online structural health monitoring framework robust
to the sensor configuration, that is, the number and placement of sensors. The proposed …

Unsupervised data normalization for continuous dynamic monitoring by an innovative hybrid feature weighting-selection algorithm and natural nearest neighbor …

H Sarmadi, A Entezami… - Structural Health …, 2023 - journals.sagepub.com
Continuous dynamic monitoring brings an important opportunity to evaluate the health and
integrity of civil structures in a long-term manner. However, high dimensionality and sparsity …

[HTML][HTML] Transferring damage detection knowledge across rotating machines and framed structures: Harnessing domain adaptation and contrastive learning

R Soleimani-Babakamali… - … Systems and Signal …, 2024 - Elsevier
The case dependency of vibration-based Structural Damage Detection (SDD) models on
their training structure (data) has always been a setback in their application to new …

Data augmentation for deep-learning-based multiclass structural damage detection using limited information

K Dunphy, MN Fekri, K Grolinger, A Sadhu - Sensors, 2022 - mdpi.com
The deterioration of infrastructure's health has become more predominant on a global scale
during the 21st century. Aging infrastructure as well as those structures damaged by natural …

A system reliability approach to real-time unsupervised structural health monitoring without prior information

MH Soleimani-Babakamali, R Sepasdar… - … Systems and Signal …, 2022 - Elsevier
Unsupervised techniques have gained much attention in the last decade as the most
practical real-time structural health monitoring (SHM) approach. However, there are still …

On the effectiveness of dimensionality reduction for unsupervised structural health monitoring anomaly detection

MH Soleimani-Babakamali… - … Systems and Signal …, 2023 - Elsevier
Dimensionality reduction techniques (DR) enhance data interpretability and reduce space
complexity, though at the cost of information loss. Such methods have been prevalent in the …

Zero-shot transfer learning for structural health monitoring using generative adversarial networks and spectral map**

MH Soleimani-Babakamali… - … Systems and Signal …, 2023 - Elsevier
Gathering properly labeled, adequately rich, and case-specific data for successfully training
a purely data-driven or hybrid model for structural health monitoring (SHM) applications is a …

Long-term structural health monitoring for bridge based on back propagation neural network and long and short-term memory

S Li, W Wang, B Lu, X Du, M Dong… - Structural Health …, 2023 - journals.sagepub.com
Bridges are critical components of transportation infrastructure. To ensure the long-term
performance of bridges and the safety of the public, regular inspections are required during …