Wavelet based fractal analyzing method of partial discharge acoustic emission signal

Author

Kundu, Prasanta ; Kishore, N.K. ; Sinha, A.K.

Author_Institution

Dept. of Electr. Eng., Indian Inst. of Technol., Kharagpur

fYear

2007

fDate

9-11 Aug. 2007

Firstpage

357

Lastpage

360

Abstract

Acoustic methods are widely used in detecting partial discharges (p.d.) in transformers. Acoustic detection of p.d. is based on the retrieval and analysis of mechanical signals produced by partial discharges. The acoustic signals measured need to be correctly interpreted before a decision can be made. In the present work, the partial discharge acoustic emission (PDAE) signal is analyzed into different frequency components employing wavelet analysis. Then the fractal dimension of signal in each frequency band is calculated. The characteristics of partial discharges can be expressed in fractal dimensions. The discharge characteristics for different source to sensors distances of point plane electrode system are analyzed and the feature peaks of PDAE signal for these samples are obtained.

Keywords

acoustic emission; acoustic signal processing; fractals; partial discharges; transformers; wavelet transforms; acoustic detection; mechanical signals; partial discharge acoustic emission signal; transformers; wavelet based fractal analyzing method; Acoustic emission; Acoustic measurements; Acoustic signal detection; Fractals; Frequency; Partial discharge measurement; Partial discharges; Signal analysis; Transformers; Wavelet analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial and Information Systems, 2007. ICIIS 2007. International Conference on

Conference_Location

Penadeniya

Print_ISBN

978-1-4244-1151-1

Electronic_ISBN

978-1-4244-1152-8

Type

conf

DOI

10.1109/ICIINFS.2007.4579202

Filename

4579202