A Smart Sensing Architecture for Misalignment Measurements

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.

[1]  Berend van Wachem,et al.  A detailed characterization of BaMgAl10O17:Eu phosphor as a thermal history sensor for harsh environments , 2015 .

[2]  Hiroto Yasuura,et al.  Smart sensors at the IoT frontier , 2018 .

[3]  C Trigona,et al.  Experimental investigations on the spatial resolution in RTD-Fluxgates , 2009, 2009 IEEE Instrumentation and Measurement Technology Conference.

[4]  Subhas Chandra Mukhopadhyay,et al.  Smart Sensors and Internet of Things: A Postgraduate Paper , 2017, IEEE Sensors Journal.

[5]  Eryk Dutkiewicz,et al.  Design of an On-Chip Highly Sensitive Misalignment Sensor in Silicon Technology , 2017, IEEE Sensors Journal.

[6]  Songling Huang,et al.  Laser based measurement for the monitoring of shaft misalignment. , 2016 .

[7]  Dawei Li,et al.  Analysis and measurement of misalignment effect in inductive-coupling wireless inter-chip connection , 2017, IEICE Electron. Express.

[8]  Xun Gong,et al.  Evanescent-mode-resonator-based and antenna-integrated wireless passive pressure sensors for harsh-environment applications , 2014 .

[9]  Andrew Ball,et al.  Misalignment Detection using a Wireless Sensor Mounted on a Rotating Shaft , 2011 .

[10]  Bruno Ando,et al.  Numerical and experimental investigation on contactless resonant sensors , 2009 .

[11]  Bruno Ando,et al.  A BE-SOI MEMS for Inertial Measurement in Geophysical Applications , 2011, IEEE Transactions on Instrumentation and Measurement.

[12]  Hong Huang,et al.  A Witricity-Based High-Power Device for Wireless Charging of Electric Vehicles , 2017 .