Campus Units
Electrical and Computer Engineering, Industrial Design, Materials Science and Engineering, Ames Laboratory
Document Type
Article
Publication Version
Published Version
Publication Date
1-17-2017
Journal or Book Title
AIP Advances
Volume
7
Issue
5
First Page
056634
DOI
10.1063/1.4974527
Abstract
In this work a systematic identification of factors contributing to signal ringing in unilateral nuclear magnetic resonance (NMR) sensors is conducted. Resonant peaks that originate due to multiple factors such as NMR, electrical, magneto-acoustic, core material response, eddy currents and other factors were observed. The peaks caused by the measurement system or electrical resonances and induced magnet vibrations are further analyzed. They appear in every measurement and are considered as interference to signals received from the magnetic core. Forming a distinction between different peaks is essential in identifying the primary contribution to the captured resonant signal. The measurements for the magnetic core indicate that the magnetization induced resonant peaks of the core have relatively higher amplitudes and shorter decay times at low frequencies.
Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.
Copyright Owner
The Authors
Copyright Date
2017
Language
en
File Format
application/pdf
Recommended Citation
Prabhu Gaunkar, Neelam G.; Bulu, I.; Song, Y. Q.; Mina, Mani; and Jiles, David C., "Detection and estimation of magnetization induced resonances in unilateral nuclear magnetic resonance (NMR) sensors" (2017). Electrical and Computer Engineering Publications. 140.
https://lib.dr.iastate.edu/ece_pubs/140
Included in
Architectural Engineering Commons, Electronic Devices and Semiconductor Manufacturing Commons, Industrial Engineering Commons
Comments
This article is published as Prabhu Gaunkar, N., I. Bulu, Y. Q. Song, M. Mina, and D. C. Jiles. "Detection and estimation of magnetization induced resonances in unilateral nuclear magnetic resonance (NMR) sensors." AIP Advances 7, no. 5 (2017): 056634. DOI: 10.1063/1.4974527