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Open access Sep 2026

A Group-Aware Data Quality Stress Testing Framework for Bridge Structural Health Monitoring: Evidence from the Vänersborg and Z24 Datasets

Bridge structural health monitoring (SHM) depends on sensor streams that may contain missing blocks, noise, spikes, drift, and recorded faults. We evaluated a frozen, group-aware stress testing protocol on 64 Vänersborg bridge opening events and 153 processed Z24 scenario × setup traces. Models used healthy training da...

Jian-Xin Hu, Gong-Jian Che, Yu-Cheng Wang · 0 citations
Review Sep 2026

Statistical Methods for Estimating Probability of Detection in Structural Health Monitoring

There is much interest in the potential to use structural health monitoring (SHM) technology to augment traditional nondestructive inspection (NDI) methods to improve safety, increase asset availability, and reduce maintenance and inspection costs. SHM has the potential to be used in many applications, including critic...

Q. Xia, W. Meeker, Dennis Roach et al. · 0 citations
Open access Aug 2026

A telemetry-free method for predicting failures of medical equipment based on operational event data

A method to predict medical equipment failures based on discrete event data without telemetry has been developed and verified and enables ranking the equipment fleet by failure risk over a 90 day horizon, planning unscheduled maintenance, and optimizing spare parts inventory.

M. Semakov, Yu.V. Vylgina, E. O. Grubov et al. · 0 citations
Open access Oct 2026

An Adaptive Multi-Method Approach to Enhancing the Quality of Anomalous Data in Bridge Structural Health Monitoring

Bridge structural health monitoring (SHM) data often contain isolated outliers and consecutive gaps that can bias condition assessment. This study develops an adaptive framework combining outlier screening with multi-method gap reconstruction. Outliers are screened using sliding-window value and first-difference interq...

Yu-Feng Xu, Le Wei, Qi-Kang Huang · 0 citations
Open access Oct 2026

Digital Twin–Based Structural Health Monitoring and Remaining Useful Life Prediction for Aging Urban Bridges

Urban bridge infrastructure is currently facing an unprecedented crisis of accelerated structural degradation due to intensified heavy vehicle traffic and long-term environmental weathering. Traditional manual inspection regimes are increasingly inadequate, as they are inherently subjective and fail to provide the cont...

Nathaniel Prescott, Claire Whitmore · 0 citations
Open access Aug 2026

Data anomaly detection for structural health monitoring based on Markov transition matrix features and XGBoost

Structural health monitoring (SHM) systems produce enormous amounts of data over time. However, abnormal data caused by sensor breakdowns and environmental interference greatly reduce the Accuracy of structural state evaluations. This study develops and evaluates a low-dimensional feature representation strategy for an...

Shi-Qing Jia, Fengzong Gong, Cheng Pan et al. · 0 citations

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