A method based on wavelet networks for the detection and classification of transients

Author

Angrisani, L. ; Daponte, P. ; D´Apuzzo, M.

Author_Institution

Dipt. di Ing. dell´´Inf. ed Ing., Salerno Univ., Italy

Volume

2

fYear

1998

Firstpage

903

Abstract

The paper deals with a new method for automatically detecting and classifying transient signals. The method is based on wavelet networks which combine the aptitude of the wavelet transform in analyzing nonstationary signals with the classification capabilities of artificial neural networks. A detailed description of the wavelet network structure is first given. Then, the fundamental stages of the proposed method are presented. The first results obtained from the application of the method to transients typical of a significant field are finally shown

Keywords

feature extraction; pattern classification; perceptrons; power system analysis computing; power system transients; signal detection; transient analysers; wavelet transforms; ANN capabilities; automatic classification; automatic detection; expanded perceptron; feature extraction; nonstationary signals; power quality analysis application; transient signals; wavelet networks; wavelet transform; Artificial neural networks; Feature extraction; Neural networks; Neurons; Power system transients; Signal analysis; Time frequency analysis; Tuned circuits; Wavelet analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 1998. IMTC/98. Conference Proceedings. IEEE

Conference_Location

St. Paul, MN

ISSN

1091-5281

Print_ISBN

0-7803-4797-8

Type

conf

DOI

10.1109/IMTC.1998.676855

Filename

676855