Uniaxial fiber Bragg grating accelerometer system with temperature and cross axis insensitivity

Antunes, Paulo; Varum, Humberto; André, Paulo

doi:10.1016/j.measurement.2010.09.013

Cited by 77 publications

(45 citation statements)

References 17 publications

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“…In Antunes et al (2011) andJiang andYang (2013) an FBG is stretched by a moving inertial mass. In Mita et al (2001) and Au et al (2008) a bending beam -or rather a cantilever-based FBG accelerometer -is investigated.…”

Section: Acceleration Sensorsmentioning

confidence: 99%

Fibre optic sensing system for monitoring of current collectors and overhead contact lines of railways

Schröder

Rothhardt

Ecke

et al. 2017

J. Sens. Sens. Syst.

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Abstract. Fibre optic sensors are excellent tools to use for monitoring high-voltage current collectors. Because of their small cross section and electrical neutrality, they are easily integrated into the current collector strip and are well specialized for detection of high-speed load events. The conventional contact force measurement with four force sensors below the collector strips can also be simplified by using fibre optic force and acceleration sensors.

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Section: Acceleration Sensorsmentioning

confidence: 99%

Fibre optic sensing system for monitoring of current collectors and overhead contact lines of railways

Schröder

Rothhardt

Ecke

et al. 2017

J. Sens. Sens. Syst.

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“…The sensors development and monitoring techniques had been improved and the inclusion of the durability parameters has been an upgrade, to promote a better damage characterization and an accurate structural lifetime prediction [97]. A significantly quantity of optical sensors has been developed and implemented, motivated by the better signal to noise ratio, good sensitivity, electromagnetic interference immunity, multiplexing possibility, low size and weight, robustness, low attenuation on remote monitoring, and no electrical power needed at the measuring point, among other advantages [52,98,99]. Thus, such sensors can potentially provide an optimized sensing system with higher performance.…”

Section: New Perspectives For Shmmentioning

confidence: 99%

Global overview on advances in structural health monitoring platforms

Mesquita

Antunes

Coelho

et al. 2016

J Civil Struct Health Monit

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Advances in the development of sensors, data processing systems, and numerical models have motivated the implementation of structural health monitoring (SHM) specially focused on the assessment of structural safety. Thus, this work presents a literature review about SHM platforms, especially from 1993 to 2015. In this way, a short history review about the recent advances on SHM, mainly related with dynamic monitoring, was summarized, and a benchmark and the main guidelines related with SHM platforms were also included in this review. Some case studies are also described here. Special attention was given to SHM platforms, and a method for their classification (an extension of Rytter's method) is presented. In addition, experiences related with heritage constructions, specially focused on maintenance, were included in this work. In the final section, some observations are made about the new prospects for SHM. The recent advances on SHM platforms contributed to the development of adaptive systems and to the cost reduction of the monitoring systems implementation, allowing the increase of its application in real structures. However, the monitoring systems should be implemented, optimizing all the available sensing technologies.

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“…Moreover, the FBGs are suitable sensing elements for doing physical measurements where a kind of displacement is available. Examples of such applications found in the literature include the measurements of strain (Ling H. Y. et al, 2006), pressure (Peng B. J. et al, 2005), force , acceleration (Antunes P. et al, 2011), tilt rotation by an angle , temperature (Gu X. et al, 2006) humidity (Arregui F. J. et al, 2002), magnetic fields (Orr P. et al, 2010), cardiorespiratory function , gait function analysis (Rocha R. P. et al, 2011) and integration on wearable garments (Carmo J. P. et al, 2012b).…”

Section: Smart Materials Based On Fbgsmentioning

confidence: 99%