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論文情報

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アクセス権	open access
URI	https://hdl.handle.net/2115/94256
タイトル	Magnetic Property Calibration of Low-Permeability Materials for Vibrating Sample Magnetometers Using Neural Networks
著者	Kong, Xiaohan ; Uehara, Yuji ; Terauchi, Naoya ; Sato, Natsuko ; Matsuda, Yoshibumi ; Nagano, Masanori ; Igarashi, Hajime
著者名 Kong, Xiaohan
著者名 Uehara, Yuji
著者名 Terauchi, Naoya
著者名 Sato, Natsuko
著者名 Matsuda, Yoshibumi
著者名 Nagano, Masanori
e-Rad_Researcher 90212737 著者名 Igarashi, Hajime
言語	英語
キーワード	Demagnetization
	Magnetometers
	Artificial neural networks
	Magnetic properties
	Finite element analysis
	Calibration
	Magnetic field measurement
	Finite element method (FEM)
	magnetic property
	neural network (NN)
	vibrating sample magnetometer (VSM)
発行日	2024-12
出版者	IEEE (Institute of Electrical and Electronics Engineers)
収録物名	IEEE transactions on magnetics
巻(号)	60(12)
ページ	6000504
抄録	This article proposes a new method to calibrate the B-H properties measured by the vibrating sample magnetometer (VSM) for bar-shaped samples. It compensates for finite size and demagnetization effects using the neural networks (NNs) trained based on finite element analysis. Once the NNs are trained, they provide fast prediction of calibration results. The results from the proposed method are compared with those from the capacitive cancellation method, regarded as a reference due to its immunity to the effects of the demagnetizing field.
資源タイプ	学術雑誌論文
出版タイプ	Accepted Manuscript
権利情報	© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
PISSN	0018-9464
関連情報 (isVersionOf)	出版社版DOI https://doi.org/10.1109/TMAG.2024.3463196

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