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Study on Mask Estimation & Artificial Neural Network for Speech Enhancement: A Review
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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.
Keywords: Core type transformer, Modeling, Coil design, Terminal design, Magnetostatic analysis.
How to Cite:
[1] Suresh Kumar, Mr. Santosh Kumar, βStudy on Mask Estimation & Artificial Neural Network for Speech Enhancement: A Review,β International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), DOI: 10.17148/IJIREEICE.2018.635
