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The vibration-based structural health monitoring problem is addressed as the double task of detecting damages modelled as changes in the eigenstructure of a linear dynamic system, and localizing the detected damages within (a finite element model (FEM) of ) the monitored structure.
Sensor faults may reduce the quality of monitoring and, if remaining undetected, might cause significant economic loss due to inaccurate or missing sensor data required for structural assessment and life-cycle management of the monitored structure.
It is easy to implement within a sensor network attached to the monitored structure.
Structural Health Monitoring (SHM) using non destructive testing generally involves measurement of shift in natural frequency of the monitored structure.
Due to the different material properties between host material and the protective layer, the monitored structure embedded with sensors can be regarded as a typical model containing inclusions.
In addition to the localized data analyses, a central information pool available on the central server is accessible by the software agents (and by human users), facilitating a distributed-cooperative assessment of the global condition of the monitored structure.
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Results show potential for application to continuously monitored structures that have complex relationships between natural frequencies and parameters such as loading and environmental factors.
This work investigates the feasibility of using wavelet spectra analysis of the multipath signal to monitor structure movement.
The energy harvested can produce electric energy, provide heating or cooling, ice melting, power wireless sensors, and monitor structure conditions.
Complementary in-situ spectroscopic studies on bacteria/SAMs/Au electrode assemblies were carried out to monitor structure changes of the bacterial cells upon polarization.
However, this protein may undergo misfolding of its transmembrane portion, which would allow it to be recognised by quality control components that monitor structure within the lipid bilayer.
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