A systematic review of convolutional neural network-based structural condition assessment techniques
With recent advances in non-contact sensing technology such as cameras, unmanned aerial
and ground vehicles, the structural health monitoring (SHM) community has witnessed a …
and ground vehicles, the structural health monitoring (SHM) community has witnessed a …
A review of machine learning methods applied to structural dynamics and vibroacoustic
Abstract The use of Machine Learning (ML) has rapidly spread across several fields of
applied sciences, having encountered many applications in Structural Dynamics and …
applied sciences, having encountered many applications in Structural Dynamics and …
Structural health monitoring by a novel probabilistic machine learning method based on extreme value theory and mixture quantile modeling
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 …
novelty detection for health monitoring of civil structures. The core of this method is based on …
Review of artificial intelligence-based bridge damage detection
Bridges are often located in harsh environments and are thus extremely susceptible to
damage. If the initial damage is not detected in time, it can develop further causing safety …
damage. If the initial damage is not detected in time, it can develop further causing safety …
Artificial intelligence and structural health monitoring of bridges: A review of the state-of-the-art
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 …
making big changes to the way traditional structural health monitoring (SHM) is done. Also …
[HTML][HTML] A review of ultrasonic sensing and machine learning methods to monitor industrial processes
Supervised machine learning techniques are increasingly being combined with ultrasonic
sensor measurements owing to their strong performance. These techniques also offer …
sensor measurements owing to their strong performance. These techniques also offer …
Machine learning at the interface of structural health monitoring and non-destructive evaluation
While both non-destructive evaluation (NDE) and structural health monitoring (SHM) share
the objective of damage detection and identification in structures, they are distinct in many …
the objective of damage detection and identification in structures, they are distinct in many …
Unsupervised data normalization for continuous dynamic monitoring by an innovative hybrid feature weighting-selection algorithm and natural nearest neighbor …
H Sarmadi, A Entezami… - Structural Health …, 2023 - journals.sagepub.com
Continuous dynamic monitoring brings an important opportunity to evaluate the health and
integrity of civil structures in a long-term manner. However, high dimensionality and sparsity …
integrity of civil structures in a long-term manner. However, high dimensionality and sparsity …
On the transfer of damage detectors between structures: An experimental case study
Incomplete data–which fail to represent environmental effects or damage–are a significant
challenge for structural health monitoring (SHM). Population-based frameworks offer one …
challenge for structural health monitoring (SHM). Population-based frameworks offer one …
[HTML][HTML] A probabilistic risk-based decision framework for structural health monitoring
Obtaining the ability to make informed decisions regarding the operation and maintenance
of structures, provides a major incentive for the implementation of structural health …
of structures, provides a major incentive for the implementation of structural health …