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 …

Monitoring of modal frequencies under an unsupervised learning framework is a practical
strategy for damage assessment of civil structures, especially bridges. However, the key …

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 …

There are a large number of time domain, frequency domain and time-frequency signal
processing methods available for univariate feature extraction. However, there is no …

Abstract The inverse Finite Element Method (iFEM) has recently demonstrated to be a
valuable tool, not only for shape sensing, but also for damage identification in a Structural …

One principle limitation to the implementation of Structural Health Monitoring (SHM) systems
in real structures is the influence of different operational conditions with respect to those …

One of the main challenges that Structural Health Monitoring (SHM) faces when transitioning
from academia to real-world applications is the discernment between structural changes due …

Abstract Changes in the vibration responses of wind turbine blades (WTBs) can be used to
detect the presence of damages. However, constantly changing environmental …

This paper proposes a novel technique that aims at detecting the effect of damage on
structural frequency signals as “bad” outliers. To this end, a procedure is developed based …

This study proposes an effective damage detection method for laminated composite
structures under the influence of nonstationary colored noise using condensed Frequency …