Empirical mode decomposition and its variants: A review with applications in structural health monitoring
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 …
damage detection, which leads to improved safety and efficient maintenance of large-scale …
Structural health monitoring research under varying temperature condition: A review
Suffering from solar radiation, day–night replacement and seasonal changes, the structure
will produce notable temperature behaviour, which has a vital effect on the long-term …
will produce notable temperature behaviour, which has a vital effect on the long-term …
Challenges in bridge health monitoring: A review
P Rizzo, A Enshaeian - Sensors, 2021 - mdpi.com
Bridge health monitoring is increasingly relevant for the maintenance of existing structures
or new structures with innovative concepts that require validation of design predictions. In …
or new structures with innovative concepts that require validation of design predictions. In …
A feature extraction & selection benchmark for structural health monitoring
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 …
processing methods available for univariate feature extraction. However, there is no …
Temperature effect on vibration properties and vibration-based damage identification of bridge structures: A literature review
In civil engineering structures, modal changes produced by environmental conditions,
especially temperature, can be equivalent to or greater than the ones produced by damage …
especially temperature, can be equivalent to or greater than the ones produced by damage …
Effects of environmental and operational conditions on structural health monitoring and non-destructive testing: A systematic review
The development of Structural Health Monitoring (SHM) and Non-Destructive Testing (NDT)
techniques has rapidly evolved and matured over the past few decades. Advances in sensor …
techniques has rapidly evolved and matured over the past few decades. Advances in sensor …
Modeling and forecasting of temperature-induced strain of a long-span bridge using an improved Bayesian dynamic linear model
Temperature-driven baseline is highly responsive to anomalous structural behavior of long-
span bridges, which means that the discrepancy between the measured and forecasting …
span bridges, which means that the discrepancy between the measured and forecasting …
Incremental Bayesian matrix/tensor learning for structural monitoring data imputation and response forecasting
There has been increased interest in missing sensor data imputation, which is ubiquitous in
the field of structural health monitoring (SHM) due to discontinuous sensing caused by …
the field of structural health monitoring (SHM) due to discontinuous sensing caused by …
A temperature-driven MPCA method for structural anomaly detection
An important issue in structural health monitoring (SHM) is to develop appropriate
algorithms that can explicitly extract meaningful changes in measurements due to structural …
algorithms that can explicitly extract meaningful changes in measurements due to structural …
Live-load strain evaluation of the prestressed concrete box-girder bridge using deep learning and clustering
H Zhao, Y Ding, A Li, Z Ren… - Structural Health …, 2020 - journals.sagepub.com
The monitoring data makes it feasible to quickly evaluate the cracking of the prestressed
concrete box-girder bridge. The live-load strain can accurately quantify the load effect and …
concrete box-girder bridge. The live-load strain can accurately quantify the load effect and …