5 citations · 7 across the 8 of their papers we have counts for
8 papers
Removal of Multivariate Environmental Influences in Structural Health Monitoring through Conditional Covariances and Supervised Learning
Lizzie Neumann, Philipp Wittenberg, Jan Gertheiss
In structural health monitoring (SHM) systems, data is collected from a multitude of sensors measuring, for example, vibration or strain in the structure, along with additional fea…
Feature Reconstruction and Monitoring of Load Test Data under Varying Environmental Conditions
Lizzie Neumann, Philipp Wittenberg, Alexander Mendler +1
System outputs in Structural Health Monitoring (SHM), such as sensor measurements or extracted features like eigenfrequencies, are influenced not only by (potential) damage but als…
Covariate-Dependent Functional Principal Component Analysis for SHM
Philipp Wittenberg, Lizzie Neumann, Kristof Maes +1
In Structural Health Monitoring (SHM), sensor measurements and derived features such as eigenfrequencies often exhibit systematic daily patterns and can therefore be naturally repr…
Higher-Order Multivariate Environmental Influences in Structural Health Monitoring
Lizzie Neumann, Philipp Wittenberg, Jan Gertheiss
System outputs such as eigenfrequencies or strain data, often used in structural health monitoring (SHM), not only react to damage but also depend on environmental conditions. When…
Confidence Intervals for Conditional Covariances of Natural Frequencies
Lizzie Neumann, Philipp Wittenberg, Jan Gertheiss
In structural health monitoring (SHM), sensor measurements are collected, and damage-sensitive features such as natural frequencies are extracted for damage detection. However, the…
Data Set of Load Tests and Structural Health Monitoring of a concrete Box Girder bridge
Martin Koehncke, Yogi Jaelani, Alexander Mendler +4
Static and dynamic load tests were conducted on an anonymized in-service prestressed concrete box girder bridge constructed in 1972 and designed for Bridge Class~30 according to DI…
Confounder-adjusted Covariances of System Outputs and Applications to Structural Health Monitoring
Lizzie Neumann, Philipp Wittenberg, Alexander Mendler +1
Automated damage detection is an integral component of each structural health monitoring (SHM) system. Typically, measurements from various sensors are collected and reduced to dam…
Covariate-Adjusted Functional Data Analysis for Structural Health Monitoring
Philipp Wittenberg, Lizzie Neumann, Alexander Mendler +1
Structural Health Monitoring (SHM) is increasingly applied in civil engineering. One of its primary purposes is detecting and assessing changes in structure conditions to increase…