[HTML][HTML] The state of the art of data science and engineering in structural health monitoring
Structural health monitoring (SHM) is a multi-discipline field that involves the automatic
sensing of structural loads and response by means of a large number of sensors and …
sensing of structural loads and response by means of a large number of sensors and …
Evolutionary computation modelling for structural health monitoring of critical infrastructure
Monitoring of critical infrastructure for Structural Health Monitoring (SHM) is vital for the
detection of structural damage (cracks or voids) at an initial stage, thus increasing the …
detection of structural damage (cracks or voids) at an initial stage, thus increasing the …
IFC Monitor–An IFC schema extension for modeling structural health monitoring systems
M Theiler, K Smarsly - Advanced Engineering Informatics, 2018 - Elsevier
The pervasive emergence of sensing technologies for structural health monitoring (SHM)
and the digitalization ubiquitous in engineering (“Industry 4.0”) pose increasing demands on …
and the digitalization ubiquitous in engineering (“Industry 4.0”) pose increasing demands on …
Compressive-sensing data reconstruction for structural health monitoring: a machine-learning approach
Compressive sensing has been studied and applied in structural health monitoring for data
acquisition and reconstruction, wireless data transmission, structural modal identification …
acquisition and reconstruction, wireless data transmission, structural modal identification …
Bayesian compressive sensing for approximately sparse signals and application to structural health monitoring signals for data loss recovery
The theory and application of compressive sensing (CS) have received a lot of interest in
recent years. The basic idea in CS is to use a specially-designed sensor to sample signals …
recent years. The basic idea in CS is to use a specially-designed sensor to sample signals …
Compressive sensing of wireless sensors based on group sparse optimization for structural health monitoring
Vibration signals of most civil infrastructures have sparse characteristics (ie only a few
modes contribute to the vibration of the structures). Therefore, the vibration data usually …
modes contribute to the vibration of the structures). Therefore, the vibration data usually …
Compressive sensing‐based lost data recovery of fast‐moving wireless sensing for structural health monitoring
Wireless sensor technology‐based structural health monitoring (SHM) has been widely
investigated recently. This paper proposes a fast‐moving wireless sensing technique for the …
investigated recently. This paper proposes a fast‐moving wireless sensing technique for the …
Sparse l1 optimization‐based identification approach for the distribution of moving heavy vehicle loads on cable‐stayed bridges
A method for identifying the distribution of moving heavy vehicle loads is proposed for cable‐
stayed bridges based on a sparse l1 optimization technique. This method is inspired by the …
stayed bridges based on a sparse l1 optimization technique. This method is inspired by the …
Robust data transmission and recovery of images by compressed sensing for structural health diagnosis
Y Yang, S Nagarajaiah - Structural Control and Health …, 2017 - Wiley Online Library
Digital cameras are cost‐effective vision sensors and able to directly provide two‐
dimensional information of structural condition in monitoring and assessment applications …
dimensional information of structural condition in monitoring and assessment applications …
Compressive sensing based structural damage detection and localization using theoretical and metaheuristic statistics
Accurate structural damage identification calls for dense sensor networks, which are
becoming more feasible as the price of electronic sensing systems reduces. To transmit and …
becoming more feasible as the price of electronic sensing systems reduces. To transmit and …