Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights

A Malekloo, E Ozer, M AlHamaydeh… - Structural Health …, 2022 - journals.sagepub.com
Conventional damage detection techniques are gradually being replaced by state-of-the-art
smart monitoring and decision-making solutions. Near real-time and online damage …

Structural health monitoring under environmental and operational variations using MCD prediction error

M Mousavi, AH Gandomi - Journal of Sound and Vibration, 2021 - Elsevier
This paper proposes a novel technique that aims at detecting the effect of damage on
structural frequency signals as “bad” outliers. To this end, a procedure is developed based …

Monitoring onsite‐temperature prediction error for condition monitoring of civil infrastructures

M Mousavi, AH Gandomi… - Structural Control and …, 2022 - Wiley Online Library
An inverse input–output method is proposed for long‐term condition monitoring of civil
infrastructures through monitoring the prediction error of air temperature recorded at the site …

Addressing practicalities in multivariate nonlinear regression for mitigating environmental and operational variations

C Roberts, DG Cava… - Structural Health …, 2023 - journals.sagepub.com
A significant problem associated with the implementation of Vibration-Based Structural
Health Monitoring (VSHM) systems originates from the detrimental effects caused by …

[HTML][HTML] Robust mitigation of EOVs using multivariate nonlinear regression within a vibration-based SHM methodology

C Roberts, LD Avendaño-Valencia, DG Cava - Mechanical Systems and …, 2024 - Elsevier
A significant issue that has plagued data-driven Vibration-based Structural Health
Monitoring (VSHM) is the mitigation of Environmental and Operational Variations (EOVs) …

[PDF][PDF] Interpreting environmental variability from damage sensitive features

J Font-Moré, LD Avendaño-Valencia… - … Conference on Smart …, 2023 - researchgate.net
Mitigation of Environmental and Operational Variabilities (EOVs) remains one of the main
challenges to adopt Structural Health Monitoring (SHM) technologies. Its implementation in …

A robust PCA-based framework for long-term condition monitoring of civil infrastructures

M Mousavi, AH Gandomi - Data Science in Engineering, Volume 9 …, 2012 - Springer
This chapter proposes an output-only method for condition monitoring of civil infrastructures
through studying a couple of lowest structural natural frequency signals. The main challenge …