Use of Artificial Neural Network to Predict the Various Impedances of K-Rated Transformer

Abstract

 In this research paper the detailed analysis and prediction of the influence of various harmonics on the supply transformer like power transformer and distribution transformer and changes in the reactance value of the same by using the approach of ANN. The harmonics created due to non-linear load such as solid state devices in the load side of the transformer. These harmonics travelled from load to source transformer and create various iron losses and other related losses which may eventually burn the source transformer. By this analysis a designer can predict by regression method the design parameters of the De-rated transformer which also called K-rated transformer.

Authors and Affiliations

Manish Kumar Verma*1

Keywords

Related Articles

 Intuitionistic (α, β)- Fuzzy Hv-Subgroups

 Atanassov introduced the notion of intuitionistic fuzzy sets as a generalization of the notion of fuzzy sets. In this paper we introduce the concept of an intuitionistic (α β, ) -fuzzy Hv-subgroups of an Hv-groups...

 INPUT ANALYSIS USING SOIL CLASSIFICATION TECHNIQUES AND PREDICTING ITS EVOLUTION IN MOROCCO ORIENTAL TO CONVERSION WHEAT/OLIVE AT HORIZON 2020

 Agronomic and pastoral research in East Morocco depend an evolution in time and space of the soil which is an important factor otherwise, limiting plant cover. Thus, a chemical and physicochemical soil study was a...

 A Real Time Implementation of an Image Scaling Processor Using VLSI Technique

 Image scaling is a very important technique and has been widely used in many image processing applications. In applications where the scaling process must be performed at the display rather than at the CPU OR GPU,...

 ASSORTED DIRECTIONS OF AUTHENTICATION IN BIOMETRIC SYSTEMS

 Biometrics refers to a way of authentication in the world of computer security using various metrics linked to human characteristics. It is used for access control and recognition of individuals. This paper provid...

Download PDF file
  • EP ID EP106112
  • DOI -
  • Views 88
  • Downloads 0

How To Cite

Manish Kumar Verma*1 (30).  Use of Artificial Neural Network to Predict the Various Impedances of K-Rated Transformer. International Journal of Engineering Sciences & Research Technology, 3(9), 429-435. https://www.europub.co.uk/articles/-A-106112