With the rapid progress in the deep learning technology, it is being used for vibration-based
structural health monitoring. When the vibration is used for extracting features for system …

Structural health monitoring (SHM) is one of the most emerging approaches for early
damage detection, which leads to improved safety and efficient maintenance of large-scale …

Structural damage detection is still a challenging problem owing to the difficulty of extracting
damage‐sensitive and noise‐robust features from structure response. This article presents a …

Rapid detecting damages/defeats in the large-scale civil engineering structures, assessing
their conditions and timely decision making are crucial to ensure their health and ultimately …

Vibration based condition monitoring refers to the use of in situ non-destructive sensing and
analysis of system characteristics–in the time, frequency or modal domains–for the purpose …

The guided Lamb wave is widely acknowledged as one of the most encouraging tools for
quantitative identification of damage in composite structures, and relevant research has …

Over the last few decades, the damage identification methods of civil and mechanical
structures have been drawing much interest from various fields. Wavelet analysis, a …

Dynamic characteristics of cable-stayed bridges are widely accepted as valuable indicators
to determine their performance in structural health monitoring (SHM). Although research has …

In this study, a novel method called the Wavelet Transform-based Convolutional Neural
Network (WT-CNN) technique is proposed for damage detection of rectangular laminated …

Wavelet transform (WT) is a mathematical tool that can decompose a temporal signal into a
summation of time-domain basis functions of various frequency resolutions. This …