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Data fusion approaches for structural health monitoring and system identification: Past, present, and future
RT Wu, MR Jahanshahi - Structural Health Monitoring, 2020 - journals.sagepub.com
During the past decades, significant efforts have been dedicated to develop reliable
methods in structural health monitoring. The health assessment for the target structure of …
methods in structural health monitoring. The health assessment for the target structure of …
[HTML][HTML] Deep learning in fault detection and diagnosis of building HVAC systems: A systematic review with meta analysis
Building sector account for significant global energy consumption and Heating Ventilation
and Air Conditioning (HVAC) systems contribute to the highest portion of building energy …
and Air Conditioning (HVAC) systems contribute to the highest portion of building energy …
Fault diagnosis for rotating machinery using multiple sensors and convolutional neural networks
This paper presents a convolutional neural network (CNN) based approach for fault
diagnosis of rotating machinery. The proposed approach incorporates sensor fusion by …
diagnosis of rotating machinery. The proposed approach incorporates sensor fusion by …
Structural displacement measurement using an unmanned aerial system
Abstract Vibration‐based Structural Health Monitoring (SHM) is one of the most popular
solutions to assess the safety of civil infrastructure. SHM applications all begin with …
solutions to assess the safety of civil infrastructure. SHM applications all begin with …
Real‐time structural displacement estimation by fusing asynchronous acceleration and computer vision measurements
Although displacement measurement is essential for many civil infrastructure applications,
the precise estimation of structural displacement remains a challenge. In this study, a …
the precise estimation of structural displacement remains a challenge. In this study, a …
Vision-based structural displacement measurement under ambient-light changes via deep learning and digital image processing
Structural displacement can provide critical information for structural safety assessment and
maintenance. Although vision-based displacement measurement has significant …
maintenance. Although vision-based displacement measurement has significant …
Monitoring of transport infrastructure exposed to multiple hazards: A roadmap for building resilience
Monitoring-enhanced resilience in transport management is emerging together with the new
technologies and digital data, however have not been fully explored yet. Digital technologies …
technologies and digital data, however have not been fully explored yet. Digital technologies …
Structural displacement estimation using accelerometer and FMCW millimeter wave radar
Structural displacement plays a crucial role in structural health monitoring. However, its
measurement remains challenging for many civil infrastructure applications. This study …
measurement remains challenging for many civil infrastructure applications. This study …
Long-term displacement measurement of full-scale bridges using camera ego-motion compensation
Civil infrastructures experience long-term deflection as a result of persistent and transitory
loadings, including self-weight, pre-stress, traffic, temperature variation, and stress …
loadings, including self-weight, pre-stress, traffic, temperature variation, and stress …
A support vector regression (SVR)-based method for dynamic load identification using heterogeneous responses under interval uncertainties
A support vector regression (SVR)-based method is presented in this paper, which aims to
reconstruct the uncertain dynamic load using heterogeneous responses. Essentially, the …
reconstruct the uncertain dynamic load using heterogeneous responses. Essentially, the …