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Diagnosis of Faults due to Misfiring of Switches of a Cascaded H-Bridge Multi-level Inverter using Artificial Neural Networks

by S. K. Salankayana, N. Chellammal, Ravitheja Gurram
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 41 - Number 17
Year of Publication: 2012
Authors: S. K. Salankayana, N. Chellammal, Ravitheja Gurram
10.5120/5632-7986

S. K. Salankayana, N. Chellammal, Ravitheja Gurram . Diagnosis of Faults due to Misfiring of Switches of a Cascaded H-Bridge Multi-level Inverter using Artificial Neural Networks. International Journal of Computer Applications. 41, 17 ( March 2012), 17-22. DOI=10.5120/5632-7986

@article{ 10.5120/5632-7986,
author = { S. K. Salankayana, N. Chellammal, Ravitheja Gurram },
title = { Diagnosis of Faults due to Misfiring of Switches of a Cascaded H-Bridge Multi-level Inverter using Artificial Neural Networks },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 41 },
number = { 17 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 17-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume41/number17/5632-7986/ },
doi = { 10.5120/5632-7986 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:29:50.082417+05:30
%A S. K. Salankayana
%A N. Chellammal
%A Ravitheja Gurram
%T Diagnosis of Faults due to Misfiring of Switches of a Cascaded H-Bridge Multi-level Inverter using Artificial Neural Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 41
%N 17
%P 17-22
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents an artificial neural network based fault identification system for a five-level cascaded H-Bridge multi-level inverter (MLI). A Radial Basis Function (RBF) neural network is trained using radial basis functiontraining algorithm to identify the location of the switch that is misfired at an instant prior to its actual firing time. The proposed fault diagnostic system identifies the fault with a greater accuracy and the results to various input patterns are presented in a tabular format for easy comprehension.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Artificial Neural Networks Cascaded H-bridge Inverter Multi-level Inverter rbf Radial Basis Function Switch Misfiring

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