A Smart Sensing Architecture for Misalignment Measurements
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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; Band 2018-October).Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
Harvard
APA
Vancouver
Bibtex
}
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 -