Fault Detection and Diagnosition System for a 19 Level Cascaded Multilevel Inverter using ANN

Authors(4) :-R. Ramkumar, R. Harine, G. Akthar Shehanaz, S. Gowthami

An inverter is a circuit used for converting direct current to alternating current. They are used in a wide range of applications, from small power supply for a computer to large industrial applications for transporting bulk power. Multilevel inverters as compared to single level inverters have advantages like minimum harmonic distortion and it can operate on several voltage levels. The paper aims at the detection and diagnosition of the various faults occurring in a single phase nineteen level inverter based on Artificial Neural Networks. The role of Artificial Neural Network in fault diagnosition is studied and simulated using MATLAB/SIMULINK. The single phase nineteen level inverter system is designed and their characteristics are observed. The datas like voltage, current and the error values of an inverter is collected by varying the load conditions. The neural network is trained to detect the faults with the help of the data sets and tested in order to eliminate the faults occurring in an inverter. Thus, by utilizing the proposed neural network fault diagnosis system, a better understanding about fault behaviors, diagnostics, and detections of a multilevel inverter system can be accomplished.

Authors and Affiliations

R. Ramkumar
Assistant Professor, Department of EEE,K.Ramakrishnan college of Technology, Tiruchirapalli, Tamilnadu, India
R. Harine
Department of EEE,K.Ramakrishnan college of Technology, Tiruchirapalli, Tamilnadu, India
G. Akthar Shehanaz
Department of EEE,K.Ramakrishnan college of Technology, Tiruchirapalli, Tamilnadu, India
S. Gowthami
Department of EEE,K.Ramakrishnan college of Technology, Tiruchirapalli, Tamilnadu, India

Back propagation algorithm, Fault diagnosis, Multilevel inverter, Neural network, Power electronics.

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Publication Details

Published in : Volume 3 | Issue 7 | September-October 2017
Date of Publication : 2017-10-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 153-159
Manuscript Number : IJSRST173729
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

R. Ramkumar, R. Harine, G. Akthar Shehanaz, S. Gowthami, " Fault Detection and Diagnosition System for a 19 Level Cascaded Multilevel Inverter using ANN", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 3, Issue 7, pp.153-159, September-October-2017.
Journal URL : https://ijsrst.com/IJSRST173729
Citation Detection and Elimination     |      | |Cascade Neural Network Based Fault Classifier for Three Phase Induction Motor’, IEEE Transactions on Power Electronics,Vol.99,No.4,pp.1-1
  • Shoji Hayashi, Asakura.T and Zhang.S(2002), ‘Study Of Machine Fault Diagnosis Using Neural Networks,’ in Proc.IEEE Neural Networks (IJCNN’02),Vol.1,pp. 956?961.
  • Bimal k.bose et al.,(2007),‘Neural Network Applications in Power Electronics and Motor Drives-An Introduction and Perspective,’ IEEE Transactions on Industrial Electronics,Vol.54,No.1.
  • Fan Bo and Dong Ming(2010), ‘Three-Phase Inverter Fault Diagnosis Based On Optimized Neural Networks’, IEEE International Conference on Computer Application and System Modeling, ?Vol.14,pp.482-485.
  • " target="_blank"> BibTeX | Cascade Neural Network Based Fault Classifier for Three Phase Induction Motor’, IEEE Transactions on Power Electronics,Vol.99,No.4,pp.1-1
  • Shoji Hayashi, Asakura.T and Zhang.S(2002), ‘Study Of Machine Fault Diagnosis Using Neural Networks,’ in Proc.IEEE Neural Networks (IJCNN’02),Vol.1,pp. 956?961.
  • Bimal k.bose et al.,(2007),‘Neural Network Applications in Power Electronics and Motor Drives-An Introduction and Perspective,’ IEEE Transactions on Industrial Electronics,Vol.54,No.1.
  • Fan Bo and Dong Ming(2010), ‘Three-Phase Inverter Fault Diagnosis Based On Optimized Neural Networks’, IEEE International Conference on Computer Application and System Modeling, ?Vol.14,pp.482-485.
  • " target="_blank">RIS | Cascade Neural Network Based Fault Classifier for Three Phase Induction Motor’, IEEE Transactions on Power Electronics,Vol.99,No.4,pp.1-1
  • Shoji Hayashi, Asakura.T and Zhang.S(2002), ‘Study Of Machine Fault Diagnosis Using Neural Networks,’ in Proc.IEEE Neural Networks (IJCNN’02),Vol.1,pp. 956?961.
  • Bimal k.bose et al.,(2007),‘Neural Network Applications in Power Electronics and Motor Drives-An Introduction and Perspective,’ IEEE Transactions on Industrial Electronics,Vol.54,No.1.
  • Fan Bo and Dong Ming(2010), ‘Three-Phase Inverter Fault Diagnosis Based On Optimized Neural Networks’, IEEE International Conference on Computer Application and System Modeling, ?Vol.14,pp.482-485.
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