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A Smart Sensing Architecture for Misalignment Measurements

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Standard

A Smart Sensing Architecture for Misalignment Measurements. / Bouattour, Ghada; Trigona, Carlo; Barioul, Rim et al.
2018 IEEE SENSORS, SENSORS 2018 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. 8589741 (Proceedings of IEEE Sensors; Vol. 2018-October).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Harvard

Bouattour, G, Trigona, C, Barioul, R, Derbel, HBJ, Rosa, RL, Baglio, S & Kanoun, O 2018, A Smart Sensing Architecture for Misalignment Measurements. in 2018 IEEE SENSORS, SENSORS 2018 - Conference Proceedings., 8589741, Proceedings of IEEE Sensors, vol. 2018-October, Institute of Electrical and Electronics Engineers Inc., 17th IEEE SENSORS Conference - SENSORS 2018, New Delhi, India, 28.10.18. https://doi.org/10.1109/ICSENS.2018.8589741

APA

Bouattour, G., Trigona, C., Barioul, R., Derbel, H. B. J., Rosa, R. L., Baglio, S., & Kanoun, O. (2018). A Smart Sensing Architecture for Misalignment Measurements. In 2018 IEEE SENSORS, SENSORS 2018 - Conference Proceedings Article 8589741 (Proceedings of IEEE Sensors; Vol. 2018-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSENS.2018.8589741

Vancouver

Bouattour G, Trigona C, Barioul R, Derbel HBJ, Rosa RL, Baglio S et al. A Smart Sensing Architecture for Misalignment Measurements. In 2018 IEEE SENSORS, SENSORS 2018 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. 8589741. (Proceedings of IEEE Sensors). doi: 10.1109/ICSENS.2018.8589741

Bibtex

@inbook{316986a138e44a3a93229f068297e491,
title = "A Smart Sensing Architecture for Misalignment Measurements",
abstract = "Smart sensing architectures based on inductive readout are very intriguing solutions to perform measurements in industrial and in general in harsh environments. The proposed system is based on a primary coil as fixed sensing element and in front of it, a movable and battery less receiving sensor coil. The architecture measures the misalignment, with a non-destructive approach, between two objects and offers a high flexibility to perform the measurements also in presence of humidity, dirtiness, debris, oils or other non-homogeneous surfaces. Furthermore, it is easy to be implemented at low cost and it presents a wide operative range. For data acquisition, a low energy Bluetooth board is used, which starts automatically as soon as a minimum voltage value is reached. The system has been designed and studied; a laboratory prototype has been realized and experimentally validated. The results demonstrate the suitability of the proposed method.",
keywords = "coil geometry, contactless sensor, inductive sensor, IoT, Misalignment sensor, non-destructive measurement, Engineering",
author = "Ghada Bouattour and Carlo Trigona and Rim Barioul and Derbel, {Houda Ben Jemaa} and Rosa, {Roberto La} and Salvatore Baglio and Olfa Kanoun",
note = "Funding Information: The authors would like to thank the DAAD foundation for supporting their work within the Research Training Group for Intelligent Embedded Sensor Solutions (RTG-ESS) and within the program #57314019, Research Stays for University Academics and Scientists, 2017; applicant Dr. Carlo Trigona. Publisher Copyright: {\textcopyright} 2018 IEEE.; 17th IEEE SENSORS Conference - SENSORS 2018, IEEE Sensors 2018 ; Conference date: 28-10-2018 Through 31-10-2018",
year = "2018",
month = dec,
day = "26",
doi = "10.1109/ICSENS.2018.8589741",
language = "English",
isbn = "978-1-5386-4708-0",
series = "Proceedings of IEEE Sensors",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2018 IEEE SENSORS, SENSORS 2018 - Conference Proceedings",
address = "United States",
url = "https://2018.ieee-sensorsconference.org/, http://ieee-sensors2018.org/",

}

RIS

TY - CHAP

T1 - A Smart Sensing Architecture for Misalignment Measurements

AU - Bouattour, Ghada

AU - Trigona, Carlo

AU - Barioul, Rim

AU - Derbel, Houda Ben Jemaa

AU - Rosa, Roberto La

AU - Baglio, Salvatore

AU - Kanoun, Olfa

N1 - Conference code: 17

PY - 2018/12/26

Y1 - 2018/12/26

N2 - Smart sensing architectures based on inductive readout are very intriguing solutions to perform measurements in industrial and in general in harsh environments. The proposed system is based on a primary coil as fixed sensing element and in front of it, a movable and battery less receiving sensor coil. The architecture measures the misalignment, with a non-destructive approach, between two objects and offers a high flexibility to perform the measurements also in presence of humidity, dirtiness, debris, oils or other non-homogeneous surfaces. Furthermore, it is easy to be implemented at low cost and it presents a wide operative range. For data acquisition, a low energy Bluetooth board is used, which starts automatically as soon as a minimum voltage value is reached. The system has been designed and studied; a laboratory prototype has been realized and experimentally validated. The results demonstrate the suitability of the proposed method.

AB - Smart sensing architectures based on inductive readout are very intriguing solutions to perform measurements in industrial and in general in harsh environments. The proposed system is based on a primary coil as fixed sensing element and in front of it, a movable and battery less receiving sensor coil. The architecture measures the misalignment, with a non-destructive approach, between two objects and offers a high flexibility to perform the measurements also in presence of humidity, dirtiness, debris, oils or other non-homogeneous surfaces. Furthermore, it is easy to be implemented at low cost and it presents a wide operative range. For data acquisition, a low energy Bluetooth board is used, which starts automatically as soon as a minimum voltage value is reached. The system has been designed and studied; a laboratory prototype has been realized and experimentally validated. The results demonstrate the suitability of the proposed method.

KW - coil geometry

KW - contactless sensor

KW - inductive sensor

KW - IoT

KW - Misalignment sensor

KW - non-destructive measurement

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85060879401&partnerID=8YFLogxK

U2 - 10.1109/ICSENS.2018.8589741

DO - 10.1109/ICSENS.2018.8589741

M3 - Article in conference proceedings

AN - SCOPUS:85060879401

SN - 978-1-5386-4708-0

T3 - Proceedings of IEEE Sensors

BT - 2018 IEEE SENSORS, SENSORS 2018 - Conference Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 17th IEEE SENSORS Conference - SENSORS 2018

Y2 - 28 October 2018 through 31 October 2018

ER -

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Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

DOI