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JCR Impact Factor: 0.699
JCR 5-Year IF: 0.674
Issues per year: 4
Current issue: Feb 2019
Next issue: May 2019
Avg review time: 83 days


PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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LATEST NEWS

2018-Jun-27
Clarivate Analytics published the InCites Journal Citations Report for 2017. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.699, and the JCR 5-Year Impact Factor is 0.674.

2017-Jun-14
Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

2017-Feb-16
With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

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  2/2010 - 16

Hysteresis Modelling of Soft Magnetic Materials using LabVIEW Programs

MOTOASCA, S. See more information about MOTOASCA, S. on SCOPUS See more information about MOTOASCA, S. on IEEExplore See more information about MOTOASCA, S. on Web of Science, SCUTARU, G. See more information about SCUTARU, G. on SCOPUS See more information about SCUTARU, G. on SCOPUS See more information about SCUTARU, G. on Web of Science
 
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (996 KB) | Citation | Downloads: 1,252 | Views: 593

Author keywords
soft magnetic materials, modeling, magnetic hysteresis

References keywords
No relevant keywords could be extracted from the references.

About this article
Date of Publication: 2010-05-31
Volume 10, Issue 2, Year 2010, On page(s): 94 - 97
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2010.02016
Web of Science Accession Number: 000280312600016
SCOPUS ID: 77954638950

Abstract
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The paper deals with an analytical model for hysteresis cycle representation. The hysteresis curve is decomposed in a series of arcs of circles and segments of lines. Each arc of circle or segment of line is expressed using analytical geometry as a function of some given parameters or calculated ones. The easiness of the model proposed is given by the small amount of input data needed to represent the hysteresis cycle in a satisfactory way. Using an inverse mapping function from major hysteresis branches the minor cycles, reversal curve of the first kind or curve of first magnetization can be obtained. Finally a comparison between the measured data and modelled ones was made.


References | Cited By  «-- Click to see who has cited this paper

[1] A. Nicolaide, "Magnetism and Magnetic Materials", Transilvania University Press, Brasov, Romania, 2001.

[2] E. Della Torre, "Magnetic Hysteresis", IEEE Press, New York, 1999

[3] A. Nicolaide, "Electromagnetics", Transilvania University Press, Brasov, Romania, 2002.

[4] S. Motoasca, A. Nicolaide, E. Helerea, "Simple Analytical Method for Hysteresis Modelling using LabVIEW", JOAM, Vol. 10, ISS 7, pp. 1847-1852, July, 2008.

[5] Sarospataki, E., Kuczmann, M., "Realization of the Jiles-Atherton Hysteresis Model Applying The LabVIEW And MatLab Software Package", Journal of Electrical Engineering, Vol 57. No 8/S, pp. 40-43, 2006

References Weight

Web of Science® Citations for all references: 0
SCOPUS® Citations for all references: 0

Web of Science® Average Citations per reference: 0
SCOPUS® Average Citations per reference: 0

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2019-05-20 22:57 in 5 seconds.




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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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