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Electronics 2019, 8(1), 45; https://doi.org/10.3390/electronics8010045

A Tilt Sensor Node Embedding a Data-Fusion Algorithm for Vibration-Based SHM

1
Advanced Research Center on Electronic Systems “Ercole De Castro” (ARCES), University of Bologna, Via V. Toffano 2/2, 40125 Bologna, Italy
2
Department of Electrical, Electronic and Information Engineering, University of Bologna, 40123 Bologna, Italy
3
Department of Civil, Chemical, Environmental and Materials Engineering, University of Bologna, 40123 Bologna, Italy
*
Author to whom correspondence should be addressed.
Received: 30 November 2018 / Revised: 27 December 2018 / Accepted: 29 December 2018 / Published: 1 January 2019
(This article belongs to the Special Issue Signal Processing and Analysis of Electrical Circuit)
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Abstract

This work describes a miniaturized sensor network based on low-power, light-weight and small footprint microelectromechanical (MEMS) sensor nodes capable to simultaneously measure tri-axial accelerations and tri-axial angular velocities. A real-time data fusion algorithm based on complementary filters is applied to extract tilt angles. The resulting device is designed to show competitive performance over the whole frequency range of the inertial units. Besides the capability to provide accurate measurements both in static and dynamic conditions, an optimization process has been designed to efficiently make the fusion procedure running on-sensor. An experimental campaign conducted on a pinned-pinned steel beam equipped with a network comprising several sensor nodes was used to evaluate the reliability of the developed architecture. Performance metrics revealed a satisfactory agreement to the physical model, thus making the network suitable for real-time tilt monitoring scenarios. View Full-Text
Keywords: tilt sensor; sensor data fusion; complementary filters; overlap-add processing; spectral analysis tilt sensor; sensor data fusion; complementary filters; overlap-add processing; spectral analysis
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Testoni, N.; Zonzini, F.; Marzani, A.; Scarponi, V.; De Marchi, L. A Tilt Sensor Node Embedding a Data-Fusion Algorithm for Vibration-Based SHM. Electronics 2019, 8, 45.

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