Wavelet and Fuzzy Classifier Based Fault Detection Methodology for Power Electronic Circuits

Author

Prasannamoorthy, V. ; Devarajan, N. ; Priya, K. Nalini ; Meenu, N.

Author_Institution

Dept. of Electr. Eng., Gov. Coll. of Technol., Coimbatore, India

fYear

2011

fDate

20-22 July 2011

Firstpage

1

Lastpage

6

Abstract

In this paper, Wavelet algorithm is being used to establish a fault dictionary. A three phase single level inverter circuit is being chosen as Circuit Under Test (CUT). The output of the CUT is subjected to wavelet transform. Based on the transform coefficients for the fault free circuit as well as simulated faults for the CUT, fault dictionary has been framed. Fault dictionary is being generated by extracting the standard deviation of the transform coefficients. Extracted parameters are utilized by the fuzzy classifier in order to detect the type of fault.

Keywords

fault diagnosis; fuzzy set theory; invertors; wavelet transforms; circuit under test; classifier based fault detection; fault dictionary; fuzzy classifier; power electronic circuits; three phase single level inverter circuit; wavelet classifier; wavelet transform; Circuit faults; Continuous wavelet transforms; Dictionaries; Fault diagnosis; RLC circuits;

fLanguage

English

Publisher

ieee

Conference_Titel

Process Automation, Control and Computing (PACC), 2011 International Conference on

Conference_Location

Coimbatore

Print_ISBN

978-1-61284-765-8

Type

conf

DOI

10.1109/PACC.2011.5979023

Filename

5979023