A Smart Sensing Architecture for Misalignment Measurements

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

  • Ghada Bouattour
  • Carlo Trigona
  • Rim Barioul
  • Houda Ben Jemaa Derbel
  • Roberto La Rosa
  • Salvatore Baglio
  • Olfa Kanoun

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.

Original languageEnglish
Title of host publication2018 IEEE SENSORS, SENSORS 2018 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Publication date26.12.2018
Article number8589741
ISBN (print)978-1-5386-4708-0
ISBN (electronic)978-1-5386-4707-3
DOIs
Publication statusPublished - 26.12.2018
Externally publishedYes
Event17th IEEE SENSORS Conference - SENSORS 2018 - Pullman New Delhi Aerocity, New Delhi, India
Duration: 28.10.201831.10.2018
Conference number: 17
https://2018.ieee-sensorsconference.org/
http://ieee-sensors2018.org/

Bibliographical 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:
© 2018 IEEE.

    Research areas

  • coil geometry, contactless sensor, inductive sensor, IoT, Misalignment sensor, non-destructive measurement
  • Engineering

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