Analysis of Transformers by Acoustic Emission

被引：3

作者：

Gutten, Mroslav ^{[1
]}

Kucera, Matej ^{[1
]}

Cefer, Viktor ^{[1
]}

Brncal, Peter ^{[1
]}

Jarina, Roman ^{[2
]}

机构：

[1] Univ Zilina, Dept Measurement & Applicat Elect Engn, Fac Elect Engn & Informat Technol, Zilina, Slovakia

[2] Univ Zilina, Dept Multimedia & Informat & Commun Technol, Fac Elect Engn & Informat Technol, Zilina, Slovakia

来源：

2020 IEEE 61ST ANNUAL INTERNATIONAL SCIENTIFIC CONFERENCE ON POWER AND ELECTRICAL ENGINEERING OF RIGA TECHNICAL UNIVERSITY (RTUCON) | 2020年

关键词：

acoustic camera; acoustic emission; acoustic source localization;

D O I：

10.1109/RTUCON51174.2020.9316564

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

The article deals with an on-line non-contact measuring method for the analysis of transformer operation by measuring acoustic, noise and electromagnetic emissions. The electric non-rotating machine generates electromagnetic and acoustic waves, by means of which it is possible to analyze not only operating states but also its possible fault states.We performed measurements of acoustic emission on the traction transformers 25/6 kV and 110/3 kV that were in real operation. We studied the spatial distribution of the acoustical field as well as its spectra. Preliminary results have shown that acoustic analysis may be a useful alternative option for high-power transformer's health condition.

引用

页数：4

共 5 条

[1] Vibro-acoustic techniques to diagnose power transformers
Bartoletti, C
Desiderio, M
Di Carlo, D
Fazio, G
Muzi, F
Sacerdoti, G
Salvatori, F
[J]. IEEE TRANSACTIONS ON POWER DELIVERY, 2004, 19 (01) : 221 - 229
[2] Brandt M, 2016, PROCEEDINGS OF 2016 INTERNATIONAL CONFERENCE ON DIAGNOSTIC OF ELECTRICAL MACHINES AND INSULATING SYSTEMS IN ELECTRICAL ENGINEERING (DEMISEE 2016), P6, DOI 10.1109/DEMISEE.2016.7530472
[3] Eric M. M., 9 TEL FOR TELFOR BEL, P1036
[4] Identification of Acoustic Emission Signals Originating from the Core Magnetization of Power Oil Transformer
Olszewska, Aneta
Witos, Franciszek
[J]. ARCHIVES OF ACOUSTICS, 2016, 41 (04) : 799 - 812
[5] Feature extraction of power transformer vibration signals based on empirical wavelet transform and multiscale entropy
Zhao, Miaoying
Xu, Gang
[J]. IET SCIENCE MEASUREMENT & TECHNOLOGY, 2018, 12 (01) : 63 - 71

← 1 →