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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.
R. Ramkumar, R. Harine, G. Akthar Shehanaz, S. Gowthami
Back propagation algorithm, Fault diagnosis, Multilevel inverter, Neural network, Power electronics.
  1. Abul Masrur, M. and Chen, Z.(2010), ‘Intelligent Diagnosis Of Open and Short Circuit Faults In Electric Drive Inverters For Real-Time Applications’, IEEE Journal On Power Electronics,Vol.3,pp.279-291.
  2. Abdul Masrur.M, ZhiHang Chen et al.,(2007), ‘Model-Based? Fault Diagnosis In???????? Electric Drive Inverters Using Artificial Neural Network’, IEEE Journal On Power Electronics,pp.1-7.
  3. Surin Khomfoi and Leon M.Tolbert(2007),‘Fault Diagnostic System For A Multilevel????? Inverter Using A Neural Network’,IEEE Transactions on Power Electronics, Vol.22,No.3,pp.1062-1069.
  4. Alian Chen, Lei Hu and Chen.L et al.,(2005),? ‘A Multilevel Converter Topology With Fault-Tolerant Ability,’ IEEE Transactions On Power Electronics, Vol.20, No. 2, pp. 405?415.
  5. Surin Khomfoi and Leon M.Tolbert (2007), ‘A Diagnostic Technique For Multilevel Inverters Based On A Genetic Algorithm To Select A Principal Component Neural Network’,IEEE Transactions on Power Electronics,pp.1497-1503.
  6. Ramkumar, R. "High current and High Voltage Gain Soft Switched Multiphase Multilevel Modular DC-DC Converter." International Journal of Applied Engineering Research 10, no. 0973-4562 (2015): 7686-7689.
  7. Surin Khomfoi and Leon M.Tolbert(2007), ‘Fault Diagnosis And Reconfiguration For Multilevel Inverter Drive Using AI-Based Techniques’,IEEE Transactions on industrial electronics ,Vol.54,No.6,pp.2954-2968.
  8. Ramkumar, R. "A Novel Low Cost Three Arm Ac Automatic Voltage Regulator." ADVANCES in NATURAL and APPLIED SCIENCES 10, no. 1995-0772 (2016): 142-151.
  9. Leon M. Tolbert et al.,(2007),‘Cascaded H-bridge Multilevel Inverter Drives Operating under Faulty Condition with AI-Based Fault Diagnosis and Reconfiguration’ IEEE Transactions on Industrial Electronics.
  10. Pablo Lezana and Josep Pou et????????????????? al.,(2010) ‘Survey on Fault Operation on Multilevel Inverters’ IEEE Transactions on Industrial Electronics, Vol.57, No.7
  11. Zhou Jinghua and Liu Huichen et al.,(2009),‘Research on The Fault Characteristics and Fault Diagnosis Methods of Three-level High-power Inverter’, IEEE Transactions on Industrial Electronics.
  12. Ghate.V and Dudul.S(2010), ‘ Cascade Neural Network Based Fault Classifier for Three Phase Induction Motor’, IEEE Transactions on Power Electronics,Vol.99,No.4,pp.1-1
  13. 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.
  14. 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.
  15. 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.
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 : http://ijsrst.com/IJSRST173729

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