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International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering
International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2321-2004ISSN Print 2321-5526Since 2013
IJIREEICE meets the suggestive parameters outlined in the latest University Grants Commission (UGC) for peer-reviewed journals, ensuring high standards of research integrity, publication ethics, and academic excellence.
← Back to VOLUME 6, ISSUE 3, MARCH 2018

Study on Mask Estimation & Artificial Neural Network for Speech Enhancement: A Review

Suresh Kumar, Mr. Santosh Kumar

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Abstract: Transformers are of great interest ever since its invention because of its robustness and application in power systems. Hence there is a lot of research going on to increase its performance characteristics and compatibility in the higher power system rating due to ever increase in power demand. This is achievable by effective strategic modeling in a high performance simulation environment such as ANSYS Maxwell where in, the transformer is designed for the required characteristic, modeled, analyzed and performance evaluation is done. In this paper design and modeling of a three-phase core type transformer with coil and terminals is described in detail employing magnetostatic analysis in ANSYS Maxwell simulation platform.

Keywords: Core type transformer, Modeling, Coil design, Terminal design, Magnetostatic analysis.

How to Cite:

[1] Suresh Kumar, Mr. Santosh Kumar, β€œStudy on Mask Estimation & Artificial Neural Network for Speech Enhancement: A Review,” International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), DOI: 10.17148/IJIREEICE.2018.635

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