DocumentCode :
2858232
Title :
Open circuit fault diagnosis for the power electronic converter stages using ANFIS algorithm
Author :
Kamel, Tamer ; Biletskiy, Yevgen ; Liuchen Chang
Author_Institution :
Univ. of New Brunswick, Fredericton, NB, Canada
fYear :
2015
fDate :
3-6 May 2015
Firstpage :
656
Lastpage :
662
Abstract :
This paper demonstrates a fault detection and location for the open circuit (O.C) faults in the all power electronic converter stages including; the three-phase rectifier, the dc-dc converter, and finally the single-phase inverter. The proposed fault diagnosis is based on the adaptive neuro-fuzzy inference system (ANFIS) algorithm. The inputs to the ANFIS unit are the voltage and the current measurements of the power converter stages after they undergo several signal processing operations so that they could efficiently reflect the fault occurrence and behavior. The output of the ANFIS unit is utilized as an index in order to identify the O.C fault in the power converter. Then, it locates the fault within the three different stages of the converter.
Keywords :
DC-DC power convertors; electric current measurement; fault diagnosis; inference mechanisms; power electronics; power engineering computing; reliability; signal processing; voltage measurement; ANFIS algorithm; ANFIS unit; adaptive neuro-fuzzy inference system algorithm; dc-dc converter; open circuit fault diagnosis; power electronic converter; signal processing; single-phase inverter; three-phase rectifier; Choppers (circuits); Circuit faults; Fault diagnosis; Inverters; Rectifiers; Voltage measurement; Fast Fourier Transform FFT; Neuro-Fuzzy Inference System ANFIS; Open Circuit Faults; Power Electronic Converters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering (CCECE), 2015 IEEE 28th Canadian Conference on
Conference_Location :
Halifax, NS
ISSN :
0840-7789
Print_ISBN :
978-1-4799-5827-6
Type :
conf
DOI :
10.1109/CCECE.2015.7129352
Filename :
7129352
Link To Document :
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