Localisation of partial discharges sources using acoustic transducers arrays

• Autorzy: Polak F. , Sikorski W. , Siodła K.
• Języki publikacji: EN

Abstrakty

EN

This paper concerns the issue of the partial discharge (PD) sources location using acoustic emission transducer arrays technique and the high resolution direction of arrival estimation technology. In addition to the theoretical assumptions of both techniques, the simulation result, in which an uniform linear array (ULA) was used for registration of the acoustic emission signals generated by defects in power transformer insulation system were shown. To estimate the direction of arrival (DOA) of acoustic signals, that propagate from the discharge-generating defect to the transducer array installed on transformer tank, Multiple Signal Classification (MUSIC) algorithm was chosen. With the ability to locate multisource discharges (even at very low signal-to-noise ratio - SNR), the adopted solution has advantages over conventional techniques.

Słowa kluczowe

EN

partial discharge; Signal Source Localisation; Transducer Array; Direction of Arrival (DOA) Estimation; music

• Wydawca: Wydawnictwo Politechniki Poznańskiej
• Czasopismo: Computer Applications in Electrical Engineering
• Rocznik: 2014
• Tom: Vol. 12
• Strony: 237--245
• Opis fizyczny: Bibliogr. 8 poz., rys.

Twórcy

autor

Polak F.

• Poznań University of Technology 60-965 Poznań, ul. Piotrowo 3a

autor

Sikorski W.

• Poznań University of Technology 60-965 Poznań, ul. Piotrowo 3a

autor

Siodła K.

• Poznań University of Technology 60-965 Poznań, ul. Piotrowo 3a

Bibliografia

• [1] Sinaga H.H., Phung B.T., Blackburn T.R., Recognition of single and multiple partial discharge sources in transformers based on ultra-high frequency signals, IET Generation, Transmission & Distribution, vol. 8, pp. 160-169, 2014.
• [2] Youchen Wang, Chaojie Zhu, Qiaohua Wang, Zhihao Wang, Yi Yin, Processing of partial discharge ultra-high frequency signals from a true size transformer, IEEE International Conference on Solid Dielectrics (ICSD), pp. 1012-1015, 2013.
• [3] Ahmed M.R., Geliel M.A., Khalil A., Power transformer fault diagnosis using fuzzy logic technique based on dissolved gas analysis, 21st Mediterranean Conference on Control & Automation (MED) ‘2013, pp. 584-589, 2013.
• [4] Markalous S., Tenbohlen S., Feser K., Detection and location of partial discharges in power transformers using acoustic and electromagnetic signals, IEEE Transactions on Dielectrics and Electrical Insulation, vol. 15, pp. 1576-1583, 2008.
• [5] Sikorski W., Siodla K., Moranda H., Ziomek W., Location of partial discharge sources in power transformers based on advanced auscultatory technique, IEEE Transactions on Dielectrics and Electrical Insulation, vol. 19, pp. 1948-1956, 2012.
• [6] Sikorski W., Ziomek W., Detection, Recognition and Location of Partial Discharge Sources Using Acoustic Emission Method (Chapter 3), Acoustic Emission, InTECH Publisher, ISBN 978-953-51-0056-0, 2012.
• [7] Yan-Qing Li, Qing Xie, Nan Wang, Xin Xiang, Fang-Cheng Lu, Simulation of PD location in power transformer based on Root Multiple Signal Classification method, IEEE 9th International Conference on the Properties and Applications of Dielectric Materials - ICPADM 2009, pp. 553-556, 2009.
• [8] Zhizhang Chen, Gopal Gokeda, Yiqiang Yu, Introduction to Direction-of-Arrival Estimation, Artech House, ISBN 978-1-59693-089-6, 2003.