A review of output-only structural mode identification literature employing blind source separation methods
Output-only modal identification has seen significant activity in recent years, especially in
large-scale structures where controlled input force generation is often difficult to achieve …
large-scale structures where controlled input force generation is often difficult to achieve …
Recent developments on wireless sensor networks technology for bridge health monitoring
GD Zhou, TH Yi - Mathematical Problems in Engineering, 2013 - Wiley Online Library
Structural health monitoring (SHM) systems have shown great potential to sense the
responses of a bridge system, diagnose the current structural conditions, predict the …
responses of a bridge system, diagnose the current structural conditions, predict the …
Lost data recovery for structural health monitoring based on convolutional neural networks
Signal transmission loss of using wireless sensors for structural health monitoring is a usual
case, which undermines the reliability of the sensors for monitoring the structural conditions …
case, which undermines the reliability of the sensors for monitoring the structural conditions …
DF-CDM: Conditional diffusion model with data fusion for structural dynamic response reconstruction
In structural health monitoring (SHM) systems, data loss inevitably occurs and reduces the
applicability of SHM techniques, such as condition assessment and damage identification …
applicability of SHM techniques, such as condition assessment and damage identification …
[HTML][HTML] Flexible smart sensor framework for autonomous structural health monitoring
Wireless smart sensors enable new approaches to improve structural health monitoring
(SHM) practices through the use of distributed data processing. Such an approach is …
(SHM) practices through the use of distributed data processing. Such an approach is …
Lost data neural semantic recovery framework for structural health monitoring based on deep learning
K Jiang, Q Han, X Du - Computer‐Aided Civil and Infrastructure …, 2022 - Wiley Online Library
Structural condition perception is a crucial step in structural health monitoring (SHM).
Random loss or corruption of sensing data seriously hinders the reliability of the monitoring …
Random loss or corruption of sensing data seriously hinders the reliability of the monitoring …
Compressive sampling–based data loss recovery for wireless sensor networks used in civil structural health monitoring
In a wireless sensor network, data loss often occurs during the data transmission between
the wireless sensor nodes and the base station. In the wireless sensor network applications …
the wireless sensor nodes and the base station. In the wireless sensor network applications …
A hybrid method coupling empirical mode decomposition and a long short-term memory network to predict missing measured signal data of SHM systems
Missing data, especially a block of missing data, inevitably occur in structural health
monitoring systems. Because of their severe negative effects, many methods that use …
monitoring systems. Because of their severe negative effects, many methods that use …
[HTML][HTML] Recent advances in wireless sensor networks for structural health monitoring of civil infrastructure
Abstract Wireless Smart Sensor Networks (WSSN) have seen significant advancements in
recent years. They act as a core part of structural health monitoring (SHM) systems by …
recent years. They act as a core part of structural health monitoring (SHM) systems by …
Embedding compressive sensing-based data loss recovery algorithm into wireless smart sensors for structural health monitoring
Lossy transmission is a common problem for monitoring systems based on wireless sensors.
Reliable communication protocols, which enhance communication reliability by repetitively …
Reliable communication protocols, which enhance communication reliability by repetitively …