DocumentCode :
609744
Title :
Fault diagnosis in diode clamped multilevel inverter drive using wavelet transforms
Author :
Vinothkumar, V. ; Muniraj, C.
Author_Institution :
Dept. of Electr. & Electron. Eng., K.S. Rangasamy Coll. of Technol., Thiruchengode, India
fYear :
2013
fDate :
14-15 March 2013
Firstpage :
1
Lastpage :
6
Abstract :
Induction motors are normally used in the industrial environments. Industry has begun to use energy efficient high power rating electrical drives. Multilevel inverter drives have become a solution for energy efficient drives in recent years. There may be probability for occurring of many faults in the multi-level inverter fed induction motor drive due to its complex switching patterns. So it is necessary to identify types of fault and its location in order to improve the reliability of the drives. In this paper presents a new fault diagnosis technique based on discrete wavelet transforms for diode clamped multilevel inverter fed induction motor drives. For demonstrating the proposed method the gate pulse failure fault are considered in the diode clamped multilevel inverter. The complete system is modeled using MATLAB/Simulink. The simulated results are shown to illustrate the effectiveness of the proposed method.
Keywords :
diodes; discrete wavelet transforms; failure analysis; fault diagnosis; induction motor drives; invertors; reliability; Matlab-Simulink; complex switching patterns; diode clamped multilevel inverter fed induction motor drives; discrete wavelet transforms; energy efficient high power rating electrical drives; fault diagnosis technique; gate pulse failure fault; multilevel inverter drives; reliability; Circuit faults; Discrete wavelet transforms; Feature extraction; Induction motors; Inverters; Logic gates; Torque; discrete wavelet transforms; induction motor; multi-level inverter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Green High Performance Computing (ICGHPC), 2013 IEEE International Conference on
Conference_Location :
Nagercoil
Print_ISBN :
978-1-4673-2592-9
Type :
conf
DOI :
10.1109/ICGHPC.2013.6533925
Filename :
6533925
Link To Document :
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