PD Pattern Recognition of Acoustic Signals from Polarity Characteristics in Generators

Author

Du, B. ; Wu, Yuan ; Lu, Yu Hang ; Zhang, Xiangjin

Author_Institution

Sch. of Electr. Eng. & Autom., Tianjin Univ.

fYear

2006

fDate

38869

Firstpage

710

Lastpage

713

Abstract

The characteristics of partial discharge (PD) signals under opposite polarity are used to judge the possible patterns of PD. However it is difficult to get the polarity information for on-line monitoring system due to noises. The relationship between PD type and polarity characteristics is discussed. Acoustic emission (AE) signals under AC outer voltage are collected and analyzed. The PD pattern recognition by the polarity characteristics is carried out based on wavelet packet (WP). Internal discharge, end-winding discharge and slot discharge in generators are simulated in lab. Obtained results show that the method can get the polarity information of attenuating and oscillating signals, which is proved to be feasible in PD pattern recognition

Keywords

AC generators; acoustic emission; insulation testing; machine insulation; machine testing; partial discharge measurement; pattern recognition; PD pattern recognition; acoustic emission signals; acoustic signals; end-winding discharge; generator testing; insulation system; internal discharge; on-line monitoring system; partial discharge signals; polarity characteristics; polarity information; signal attenuation; signal oscillation; slot discharge; wavelet packet; Acoustic emission; Acoustic noise; Character generation; Monitoring; Partial discharges; Pattern recognition; Signal analysis; Signal generators; Voltage; Wavelet packets;

fLanguage

English

Publisher

ieee

Conference_Titel

Properties and applications of Dielectric Materials, 2006. 8th International Conference on

Conference_Location

Bali

Print_ISBN

1-4244-0189-5

Electronic_ISBN

1-4244-0190-9

Type

conf

DOI

10.1109/ICPADM.2006.284276

Filename

4062765