Structural health monitoring system with narrowband IoT and MEMS sensors
F Di Nuzzo, D Brunelli, T Polonelli… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
Monitoring of civil infrastructures is critically needed to track aging, damages and ultimately
to prevent severe failures which can endanger many lives. The ability to monitor in a …
to prevent severe failures which can endanger many lives. The ability to monitor in a …
Digital twins and civil engineering phases: Reorienting adoption strategies
TA Adebiyi, NA Ajenifuja… - … of Computing and …, 2024 - asmedigitalcollection.asme.org
Digital twin (DT) technology has received immense attention over the years due to the
promises it presents to various stakeholders in science and engineering. As a result …
promises it presents to various stakeholders in science and engineering. As a result …
Machine learning meets compressed sensing in vibration-based monitoring
F Zonzini, A Carbone, F Romano, M Zauli, L De Marchi - Sensors, 2022 - mdpi.com
Artificial Intelligence applied to Structural Health Monitoring (SHM) has provided
considerable advantages in the accuracy and quality of the estimated structural integrity …
considerable advantages in the accuracy and quality of the estimated structural integrity …
Model-assisted compressed sensing for vibration-based structural health monitoring
The main challenge in the implementation of long-lasting vibration monitoring systems is to
tackle the constantly evolving complexity of modern “mesoscale” structures. Thus, the design …
tackle the constantly evolving complexity of modern “mesoscale” structures. Thus, the design …
Model-based vs. data-driven approaches for anomaly detection in structural health monitoring: A case study
Modern Structural Health Monitoring (SHM) systems are becoming of pervasive use in civil
engineering because they can track the structural condition and detect damages of critical …
engineering because they can track the structural condition and detect damages of critical …
Exploiting the inter-correlation of structural vibration signals for data loss recovery: A distributed compressive sensing based approach
Compressive Sensing (CS) is a novel signal sampling technique that can enhance the
resiliency of the data transmission process in Structural Health Monitoring (SHM) systems by …
resiliency of the data transmission process in Structural Health Monitoring (SHM) systems by …
An online pipeline structural health monitoring method based on the spatial deformation fitting
In pipeline maintenance, the advent of cloud computing and Internet of Things technologies
enable effective pipeline management. Practically, it is impossible to provide fast-response …
enable effective pipeline management. Practically, it is impossible to provide fast-response …
Frequency domain data merging in operational modal analysis based on least squares approach
Ç Hızal - Measurement, 2021 - Elsevier
Assembling of multi-setup measurements emerges as a challenging problem in the
structural health monitoring applications and may cause some important issues in the …
structural health monitoring applications and may cause some important issues in the …
Combining Compressed Sensing and Neural Architecture Search for Sensor-Near Vibration Diagnostics
Compressed sensing (CS) for sensor-near vibration diagnostics represents a suitable
approach for the design of network-efficient structural health monitoring systems. This article …
approach for the design of network-efficient structural health monitoring systems. This article …
The impact of sensing parameters on data management and anomaly detection in structural health monitoring
The massive and autonomous structural health monitoring (SHM) of bridges is a problem
that is of growing interest due to its importance and topicality. However, a considerable …
that is of growing interest due to its importance and topicality. However, a considerable …