Abstract
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Article Information:
Fault Diagnosis of Multilevel Cascaded Inverter Using Multi Layer Perceptron Network
E. Parimalasundar and N. Suthanthira Vanitha
Corresponding Author: E. Parimalasundar
Submitted: September 07, 2014
Accepted: October 11, 2014
Published: February 15, 2015 |
Abstract:
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In this study, a fault diagnostic system in a multi-level inverter using a MLP network is developed. Using a mathematical model, it is difficult to diagnose a Multilevel-Inverter Drive (MLID) system, because MLID system complexity has a non-linear factor and it consist of many switching devices. Therefore neural network classification is applied to fault diagnosis of MLID system. Multilayer perceptron networks (MLP) are used to identify the type and location of occurring faults from inverter output voltage measurement. Here, MLP network based fault identification system for five level cascade H-bridge Multilevel Inverter (MLI) is analyzed. The proposed system identifies the fault with a greater accuracy and the results to various input patterns are presented for easy comprehension.
Key words: Cascaded H-bridge inverter, multi layer perceptron, multilevel inverter, neural network, , ,
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Cite this Reference:
E. Parimalasundar and N. Suthanthira Vanitha, . Fault Diagnosis of Multilevel Cascaded Inverter Using Multi Layer Perceptron Network. Research Journal of Applied Sciences, Engineering and Technology, (5): 336-345.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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