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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 |
| 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
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
- Surin Komfoi and Leon M. Tolbert, "Multilevel Power Converters", Chapter 31, Power Electronics Handbook, M. H. Rashid, Academic Press, 2006.
- Surin Komfoi, Chatrchai Aimsaard, "A 5-Level Cascaded Hybrid Multi-level Inverter for Interfacing with Renewable Energy Resources", ECTI-CON 2009, pp. 284-287
- Mariusz Malinowski, K. Gopakumar, Jose Rodriguez and Marcelo A. Perez, "A Survey on Cascaded Multilevel Inverters", IEEE Trans. on Industrial Electronics, Vol. 57, no. 7, pp 2197-2208, July 2010.
- Ebrahim Babaei and Seyed Hossein Hosseini, "New Cascaded Multilevel Inveter topology with minimum number of switches", Journal on Energy Conversion and Management, vol. 50 pp 2761-2767, July 2009, Elsevier.
- Pablo Lezana et al, "Survey on Fault Operation on Multilevel Inverters", IEEE Trans. on Industrial Electronics, Vol. 57, no. 7, pp 2207-2218, July 2010
- Laurene Fausett, "Fundamentals of Neural Networks: Architectures, Algorithms and Applications", Prentice-Hall, 1994
- Surin Komfoi and Leon M. Tolbert, "Fault Diagnostic System for a Multilevel Inverter using a Neural Network", IEEE Trans. on Power Electronics, Vol. 22, no. 3, pp 1062-1069, May 2007
- S. Sedghi, A. Dastfan, A. Ahmedyfard, "Fault Diagnosis Seven Level Modular Multilevel Inverter via Voltage Histogram and Neural Network", IEEE Proc. on ICPE & ECCE 2011, pp1005-1012, May-June, 2011.
- Min-Huei Kim, M. Godoy Simoes and Bimal K. Bose, "Neural Network Based Estimation of Power Electronic Waveforms", IEEE Trans on Power Electronics, Vol. 11, no. 2, pp 383-389, March 1996.
- R. Taleb and A. Meroufel, "Control of Asymmetrical Multilevel Inverter using Artificial Neural Network", Elektronika Ir Elektrotechnika, Vol. 96, no. 8, 2009.
- Backpropagation,http://en. wikipedia. org/wiki/Backpropagation,13th September, 2011.
- Perceptron, http://en. wikipedia. org/wiki/Perceptron, 15th September, 2011.
- RBF Neural Networks, http://www. dtreg. com/rbf. htm, 18th October, 2011.
- Simon Cohen and Nathan Intrator, "A Hybrid projection based and radial basis function", IWMCS 2000, June 2000.
- Radial Basis Function Network, http://en. wikipedia. org/wiki/Radial_basis_function_network, 18th October, 2011.
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