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

 PERT AND LOB SIMPLIFIED INTEGRATED MODEL FOR DETERMINING PROBABILISTIC SCHEDULING OF REPETITIVE PROJECTS

 In a construction project environment there is always a risk or chance that adverse conditions could occur, which may cause the project to fail, or couldn’t meet its planned objectives. The importance of planning...

 Classifying Energy Feature for Video Segmentation

 Video segmentation is a major role in digital image processing. This paper provides methodology for detecting moving object presented in the given input video. First step is converting input video into frames. Sec...

 SECURE DATA STORAGE IN MULTI CLOUD ENVIRONMENT USING APACHE HADOOP

Cloud computing and Hadoop has become a new distributed storage model for most of the organizations, Industries etc. It provides a pay per use model in which customer has to only pay for the data he is storing on the cl...

Design of High Throughput K-Best For MIMO Detector

Multiple -Input -Multiple -Output(MIMO) wireless system have been widely used in next generation wireless systems like 802.11n, Long Term Evolution(LTE) and WIMAX. Next generation wireless system has the demand of high...

 Dynamic Resource Allocation Using VM for Cloud Computing Environment

 As cloud computing becomes more and more general, kind the economics of cloud computing becomes censoriously important. To maximize the profit, a cloud service provider should understand both service charges and...

Download PDF file
  • EP ID EP106112
  • DOI -
  • Views 62
  • 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://europub.co.uk/articles/-A-106112