| Issue |
E3S Web Conf.
Volume 14, 2017
Energy and Fuels 2016
|
|
|---|---|---|
| Article Number | 01039 | |
| Number of page(s) | 10 | |
| Section | Energy | |
| DOI | https://doi.org/10.1051/e3sconf/20171401039 | |
| Published online | 15 March 2017 | |
Labview based testing system for the aim of construction of energy efficient magnetic cores
1 Faculty of Electrical Engineering, Czestochowa University of Technology, Czestochowa, Poland
2 Industrial Magnetic Research Center, Magneto Ltd., Czestochowa, Poland
3 Department of Hydrogen Energy, AGH University of Science and Technology, Krakow, Poland
* Corresponding author: w.pluta@gmail.com
There is increasing demand for more and more energy efficient magnetic cores to be used in modern electrical devices like inverters or smart grid instrumentation (high and medium voltage instrument transformers). The most important magnetic parameters are as high as possible magnetization characteristics (Bm = f(Hm) curve) associated with lowest specific total core losses. As magnetic properties of magnetic cores become worse during production processes it is extremely important to test them in order to improve the production process. In the case of large magnetic cores they cannot be tested in generally used computer systems. Therefore, there is a need for quality testing system for cores of large mass, in the order of several hundred kilogramms.
The paper presents an example of an application for testing the system based on Labview platform for quality checking of large magnetic cores in the order of 1000 kg. Example of testing data for one and three phase core are presented.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.