Eliminating White Noises from Acoustic Discharge Signals Using Adaptive Filter Techniques

Ahmad Qisti Ramli, Z. D. Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Acoustic partial discharge (PD) measurement is one of the accepted methods in detecting PD in power transformers. Comparing with the electrical method, the acoustic method has the ability of locating the source of PD and is immune to the electrical noise that affect the interpretation of the electrical measurement results. However, if the source of discharge is deep inside the transformer, the acoustic signal could be significantly reduced and buried inside the white noise generated by the detection system. In this paper the adaptive filter technique was used to eliminate the white noise from the signal captured by the acoustic sensor. MATLAB was used as the platform to develop the adaptive filter algorithm. The performance of the adaptive filter was assessed using the signals and noises generated by the MATLAB functions.

Original languageEnglish
Title of host publicationUPEC 2003, 38th International Universities Power Engineering Conference
Pages566-569
Number of pages4
Volume38
Publication statusPublished - 2003
EventUPEC 2003, 38th International Universities' Power Engineering Conference - Thessaloniki, Greece
Duration: 01 Sep 200303 Sep 2003

Other

OtherUPEC 2003, 38th International Universities' Power Engineering Conference
CountryGreece
CityThessaloniki
Period01/09/0303/09/03

Fingerprint

Adaptive filters
White noise
Partial discharges
Acoustics
MATLAB
Power transformers
Sensors

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Energy(all)

Cite this

Ramli, A. Q., & Wang, Z. D. (2003). Eliminating White Noises from Acoustic Discharge Signals Using Adaptive Filter Techniques. In UPEC 2003, 38th International Universities Power Engineering Conference (Vol. 38, pp. 566-569)
Ramli, Ahmad Qisti ; Wang, Z. D. / Eliminating White Noises from Acoustic Discharge Signals Using Adaptive Filter Techniques. UPEC 2003, 38th International Universities Power Engineering Conference. Vol. 38 2003. pp. 566-569
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Ramli, AQ & Wang, ZD 2003, Eliminating White Noises from Acoustic Discharge Signals Using Adaptive Filter Techniques. in UPEC 2003, 38th International Universities Power Engineering Conference. vol. 38, pp. 566-569, UPEC 2003, 38th International Universities' Power Engineering Conference, Thessaloniki, Greece, 01/09/03.

Eliminating White Noises from Acoustic Discharge Signals Using Adaptive Filter Techniques. / Ramli, Ahmad Qisti; Wang, Z. D.

UPEC 2003, 38th International Universities Power Engineering Conference. Vol. 38 2003. p. 566-569.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Ramli AQ, Wang ZD. Eliminating White Noises from Acoustic Discharge Signals Using Adaptive Filter Techniques. In UPEC 2003, 38th International Universities Power Engineering Conference. Vol. 38. 2003. p. 566-569