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 damage identification has received considerable attention during the past
decades. Although several reviews have been presented, some new developments have …

Long-term monitoring brings an important benefit for health monitoring of civil structures due
to covering all possible unpredictable variations in measured vibration data and providing …

Structural damages occur in modern structures during operations due to environmental and
human factors. The damages accumulating with time may lead to a significant decrease in …

The health monitoring system of a bridge is an important guarantee for the safe operation of
the bridge and has always been a research hotspot in the field of civil engineering. This …

This article proposes a novel probabilistic machine learning method based on unsupervised
novelty detection for health monitoring of civil structures. The core of this method is based on …

Clustering is a popular and useful unsupervised learning method with various algorithms for
applying to many engineering problems. However, some practical and technical issues such …

Modal frequencies are widely used for vibration‐based structural health monitoring (SHM)
and for capturing the dynamics of a monitored structure to reveal possible failures. However …

Structural damage detection is of very importance to improve reliability and safety of civil
structures. A novel sensor data-driven structural damage detection method is proposed in …

This study proposes an unsupervised, online structural health monitoring framework robust
to the sensor configuration, that is, the number and placement of sensors. The proposed …