2018 IEEE International Ultrasonics Symposium (IUS) 2018
DOI: 10.1109/ultsym.2018.8580029
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Wireless Inertial Sensing Platform Self-Powered by Piezoelectric Energy Harvester for Industrial Predictive Maintenance

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Cited by 5 publications
(6 citation statements)
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“…PZN-PT or PZT) are used to improve the coupling coefficient of the global system. By using (58) and (59), the maximal value of ℛ can be determined for given materials and is limited by and 31 2 . As an example, for PMN-PT and PZT materials in plane stress configuration associated to steel substrate, the optimal thicknesses ratio are 2.3 and 1.5 respectively and the maximal values of ℛ are 0.74 and 0.82 respectively.…”
Section: Optimization Ofmentioning
confidence: 99%
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“…PZN-PT or PZT) are used to improve the coupling coefficient of the global system. By using (58) and (59), the maximal value of ℛ can be determined for given materials and is limited by and 31 2 . As an example, for PMN-PT and PZT materials in plane stress configuration associated to steel substrate, the optimal thicknesses ratio are 2.3 and 1.5 respectively and the maximal values of ℛ are 0.74 and 0.82 respectively.…”
Section: Optimization Ofmentioning
confidence: 99%
“…Concerning the aging effects, Hoang et al [6] measured a decrease of around 6% of the resonant frequency of their piezoelectric cantilevers after 6.7 billon cycles. Furthermore, a drift of 1% of the resonant frequency of the harvester of Benchemoul et al [58] dedicated to HVAC systems led to a decrease of 30% of the harvested power compared to a frequency adjusted case. In order to harvest vibration energy from the above-mentioned environments, a harvester with a frequency bandwidth of at least 10% seems unavoidable to solve the problems of frequency shifts.…”
Section: Operation With a Dedicated Integrated Circuitmentioning
confidence: 99%
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“…Wireless sensor network (WSN) has gained traction in the various Internet-of-Things (IoT) applications such as, in the area of monitoring of our built environment or predictive maintenance in smart manufacturing [1] [2]. In the WSN, wirelessly connected devices and sensors serve as access nodes to the physical world by gathering information such as temperature and humidity for central processing.…”
Section: Introductionmentioning
confidence: 99%