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Optimization of wireless power trans...
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Jonah, Olutola.
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Optimization of wireless power transfer via magnetic resonance in different media.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Optimization of wireless power transfer via magnetic resonance in different media./
作者:
Jonah, Olutola.
面頁冊數:
160 p.
附註:
Source: Dissertation Abstracts International, Volume: 74-10(E), Section: B.
Contained By:
Dissertation Abstracts International74-10B(E).
標題:
Engineering, Electronics and Electrical. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3567283
ISBN:
9781303190353
Optimization of wireless power transfer via magnetic resonance in different media.
Jonah, Olutola.
Optimization of wireless power transfer via magnetic resonance in different media.
- 160 p.
Source: Dissertation Abstracts International, Volume: 74-10(E), Section: B.
Thesis (Ph.D.)--Florida International University, 2013.
A wide range of non-destructive testing (NDT) methods for the monitoring the health of concrete structure has been studied for several years. The recent rapid evolution of wireless sensor network (WSN) technologies has resulted in the development of sensing elements that can be embedded in concrete, to monitor the health of infrastructure, collect and report valuable related data. The monitoring system can potentially decrease the high installation time and reduce maintenance cost associated with wired monitoring systems. The monitoring sensors need to operate for a long period of time, but sensors batteries have a finite life span. Hence, novel wireless powering methods must be devised.
ISBN: 9781303190353Subjects--Topical Terms:
626636
Engineering, Electronics and Electrical.
Optimization of wireless power transfer via magnetic resonance in different media.
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Source: Dissertation Abstracts International, Volume: 74-10(E), Section: B.
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Adviser: Stavros V. Georgakopoulos.
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Thesis (Ph.D.)--Florida International University, 2013.
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A wide range of non-destructive testing (NDT) methods for the monitoring the health of concrete structure has been studied for several years. The recent rapid evolution of wireless sensor network (WSN) technologies has resulted in the development of sensing elements that can be embedded in concrete, to monitor the health of infrastructure, collect and report valuable related data. The monitoring system can potentially decrease the high installation time and reduce maintenance cost associated with wired monitoring systems. The monitoring sensors need to operate for a long period of time, but sensors batteries have a finite life span. Hence, novel wireless powering methods must be devised.
520
$a
The optimization of wireless power transfer via Strongly Coupled Magnetic Resonance (SCMR) to sensors embedded in concrete is studied here. First, we analytically derive the optimal geometric parameters for transmission of power in the air. This specifically leads to the identification of the local and global optimization parameters and conditions, it was validated through electromagnetic simulations. Second, the optimum conditions were employed in the model for propagation of energy through plain and reinforced concrete at different humidity conditions, and frequencies with extended Debye's model. This analysis leads to the conclusion that SCMR can be used to efficiently power sensors in plain and reinforced concrete at different humidity levels and depth, also validated through electromagnetic simulations.
520
$a
The optimization of wireless power transmission via SMCR to Wearable and Implantable Medical Device (WIMD) are also explored. The optimum conditions from the analytics were used in the model for propagation of energy through different human tissues. This analysis shows that SCMR can be used to efficiently transfer power to sensors in human tissue without overheating through electromagnetic simulations, as excessive power might result in overheating of the tissue.
520
$a
Standard SCMR is sensitive to misalignment; both 2-loops and 3-loops SCMR with misalignment-insensitive performances are presented. The power transfer efficiencies above 50% was achieved over the complete misalignment range of 0°-90° and dramatically better than typical SCMR with efficiencies less than 10% in extreme misalignment topologies.
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School code: 1023.
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