In the age of the smart city, things like the Internet of Things (IoT) and big data analytics are
making big changes to the way traditional structural health monitoring (SHM) is done. Also …

In-operation construction vibration monitoring records inevitably contain various anomalies
caused by sensor faults, system errors, or environmental influence. An accurate and efficient …

This work investigates the effectiveness of using convolutional neural networks (CNNs) and
instantaneous displacement measurements for damage identification in beams. The study …

Aiming at comprehensively evaluating the status of a bridge monitoring system, an
evaluation framework based on the improved Delphi, analytic Hierarchy process, Grey …

Structural health monitoring (SHM) systems may suffer from multiple patterns of data
anomalies. Anomaly detection is an essential preprocessing step prior to the use of …

Fault diagnosis (FD), comprising fault detection, isolation, identification and accommodation,
enables structural health monitoring (SHM) systems to operate reliably by allowing timely …

The growing importance of automatic bridge condition monitoring, driven by the need to
sustain infrastructure and reduce construction-related CO2 emissions, has led to increased …

Over the past few decades, rapid economic development has led to the establishment of
numerous monitoring systems, resulting in the accumulation of vast amounts of monitoring …

This research introduces a novel approach for improving the analysis of Structural Health
Monitoring (SHM) data in civil engineering. SHM data, essential for assessing the integrity of …

Construction activities frequently generate excessive vibrations that adversely affect nearby
structures, facilities, and human beings. Consequently, vibration monitoring is typically …