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Please use this identifier to cite or link to this item: http://tainguyenso.vnu.edu.vn/jspui/handle/123456789/12666

Title: Fault detection using ANN for Three-level NPC Inverter fed induction motor drive
Authors: Lee H.H.
Dzung P.Q.
Hoa T.P.
Phuong L.M.
Bac N.X.
Keywords: Artificial neural network
Diagnosis
Open circuit fault
Pulse-width-modulation
Short circuit fault
Three-level NPC Inverter
Issue Date: 2010
Publisher: IEEE Region 10 Annual International Conference, Proceedings/TENCON
Citation: Volume , Issue , Page 2148-2153
Abstract: This paper is to present the investigation of ANN for fault detection Three-level Neutral Point Clamped (NPC) Inverter fed induction motor drive. Such detection requires only motor currents and DC-link current to be measured for detecting and identifying the power switch in which the open circuit fault or short circuit fault has occurred. Furthermore, a diagnosis controller using ANN for real-time fault detection of power switches is suggested. A computer simulation program is developed using Matlab/Simulink together with the Neural Network Toolbox for training the ANN-controller. This method has been validated experimentally using kit ACE 1104 (DSPACE). © 2010 IEEE.
URI: http://tainguyenso.vnu.edu.vn/jspui/handle/123456789/12666
ISSN: 
Appears in Collections:Articles of Universities of Vietnam from Scopus

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