Using Graph Neural Networks and Frequency Domain Data for Automated Operational Modal Analysis of Populations of Structures

X Jian, Y Xia, G Duthé, K Bacsa, W Liu… - arXiv preprint arXiv …, 2024 - arxiv.org
The Population-Based Structural Health Monitoring (PBSHM) paradigm has recently
emerged as a promising approach to enhance data-driven assessment of engineering …

Detecting changes in boundary conditions based on sensitivity-based statistical tests

A Mendler, M Döhler, F Hille - E-journal of nondestructive testing, 2022 - opus4.kobv.de
Structural health monitoring is a promising technology to automatically detect structural
changes based on permanently installed sensors. Vibration-based methods that evaluate …

[PDF][PDF] A general framework for damage detection with statistical distance measures: Application to civil engineering structures

NJ Jacobsen, P Andersen, A Mendler… - IOMAC-9th International …, 2022 - svibs.com
Detecting damage in structural systems is often achieved by a statistical comparison of
damagesensitive characteristics of a structure evaluated on baseline data, against the …

Operational Modal Analysis (OMA) for wind turbines health monitoring

A Cadoret - 2023 - theses.hal.science
In this thesis, the objective is to monitor the wind turbine without stopping or interfering with
its operation. So, the monitoring of operating wind turbines with Operational Modal Analysis …

Permanent Structural Health Monitoring of a new prestressed concrete bridge

J Wimmer, T Braml - ce/papers, 2023 - Wiley Online Library
The digitization of processes and methods has been in the focus of construction industry in
recent years. Whereas in the automotive industry predictive maintenance is state of the art …