Feature extraction method for the degradation of transformer winding structures based on empirical wavelet transform

HONG Kaixing1,ZHANG Juntao1,XU Su’an1,HUANG Hai2

Journal of Vibration and Shock ›› 2019, Vol. 38 ›› Issue (14) : 89-95.

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Journal of Vibration and Shock ›› 2019, Vol. 38 ›› Issue (14) : 89-95.

Feature extraction method for the degradation of transformer winding structures based on empirical wavelet transform

  • HONG Kaixing1,ZHANG Juntao1,XU Su’an1,HUANG Hai2
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Abstract

According to the physical structure of transformer windings, a multi-degree-of-freedom mathematical model was established, and the analytical solution of the free vibration of windings was obtained.The relationship between the structural parameters and the winding condition was also established.Based on this, empirical wavelet transform was used to extract the vibration decay curves corresponding to different natural frequencies, and Hilbert transform was used to extract the mechanical parameters.In the experiment, a three-phase 110 kV transformer winding unit was adopted as an object.The process of winding structure degradation was simulated by adjusting the clamping force, and the vibration responses at different locations were collected after a mechanical impulse was applied.The experimental results show that the modal information of the winding structure can be obtained quickly and effectively by empirical wavelet transform, and the structural parameters contained in the impulse vibration responses can distinguish the state of winding structure correctly.In the field test, the vibrations produced in the switched-off process were compared and analyzed for the transformers under different conditions.The results show that the proposed feature extraction method for the winding structure not only has clear physical meaning, but also has important engineering application value.

Key words

transformer windings / impact response / empirical wavelet transform / structural degradation

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HONG Kaixing1,ZHANG Juntao1,XU Su’an1,HUANG Hai2. Feature extraction method for the degradation of transformer winding structures based on empirical wavelet transform[J]. Journal of Vibration and Shock, 2019, 38(14): 89-95

References

[1] 周青山. 俄罗斯110~500kV电力变压器运行故障和事故分析[J]. 电网技术, 2003, 27(4):76-78.
Zhou Qing-shan. Faults and accidents analyses for 110kV to 500kV power transforemrs in Russia [J]. Power system technology, 2003, 27(4): 76-78.
[2] Martin D, Marks J, Saha T. Survey of Australian power transformer failures and retirements[J]. IEEE Electrical Insulation Magazine, 2017, 33(5): 16-22.
[3] Wang M, Vandermaar A J, Srivastava K D. Review of condition assessment of power transformers in service[J]. IEEE Electrical Insulation Magazine, 2003, 18(6): 12-25.
[4] Saponara S, Fanucci L, Bernardo F, et al. Predictive Diagnosis of High-Power Transformer Faults by Networking Vibration Measuring Nodes With Integrated Signal Processing[J]. IEEE Transactions on Instrumentation & Measurement, 2016, 65(8): 1749-1760.
[5] 孙翔, 何文林, 詹江杨, 等. 电力变压器绕组变形检测与诊断技术的现状与发展[J]. 高电压技术, 2016, 42(4):1207-1220.
Sun Xiang, He Wenlin, Zhang Jiangyang, et. al. Current status and development of test and diagnostic technique of transformer winding deformation[J]. High Voltage Engineering, 2016,42(4):1207-1220.
[6] 徐建源, 陈彦文, 李辉, 等. 基于短路电抗与振动信号联合分析的变压器绕组变形诊断[J]. 高电压技术, 2017, 43(6):2001-2006.
Xu Jianyuan, Chen Yanwen, Li Hui, et. al. Transformer winding deformation analysis based on short-circuit reactance and vibration signal analysis[J]. High Voltage Engineering, 2017, 43(6): 2001-2006.
[7] Patel M R. Dynamic Response of Power Transformers Under Axial Short Circuit Forces Part I - Winding and Clamp as Individual Components[J]. Power Apparatus & Systems IEEE Transactions on, 1973, PAS-92(5):1558-1566.
[8] Hori Y, Okuyama K. Axial Vibration Analysis of Transformer Windings Under Short Circuit Conditions[J]. Power Apparatus & Systems IEEE Transactions on, 1980, PAS-99(2):443-451.
[9] 王洪方, 王乃庆, 李同生. 短路条件下电力变压器绕组轴向振动等效单自由度分析[J]. 电工技术学报, 2000, 15(5):39-41.
Wang Hongfang, Wang Naiqing, Li Tongsheng. Axial vibration equivalent one-degree analysis of power transformer winding under short-circuit[J]. Transactions of China Electrotechnical Society, 2000, 15(5):39-41.
[10] 谢坡岸, 饶柱石, 朱子述. 大型变压器绕组有限元建模与分析[J]. 振动与冲击, 2006, 25(2): 134-137.
Xie Poan, Rao Zhushi, Zhu Zishu. Finite element modeling and analysis on transformer windings[J]. Journal of Vibration and Shock, 2006, 25(2): 134-137.
[11] Jin M, Pan J. Effects of insulation paper ageing on the vibration characteristics of a transformer winding disk [J]. IEEE Transactions on Dielectrics & Electrical Insulation, 2015, 22(6): 3560-3566.
[12] Zhou H, Hong K, Huang H, et al. Transformer winding fault detection by vibration analysis methods[J]. Applied Acoustics, 2016, 114: 136-146.
[13] Garcia B, Burgos J C, Alonso A M. Transformer tank vibration modeling as a method of detecting winding deformations-part I: theoretical foundation[J]. IEEE Transactions on Power Delivery, 2006, 21(1): 157-163.
[14] Garcia B, Burgos J C, Alonso A M. Transformer tank vibration modeling as a method of detecting winding deformations-part II: experimental verification[J]. IEEE Transactions on Power Delivery, 2006, 21(1): 164-169.
[15] Ji S, Luo Y, Li Y. Research on extraction technique of transformer core fundamental frequency vibration based on OLCM[J]. IEEE Transactions on Power Delivery, 2006, 21(4): 1981-1988.
[16] Hu C, Wang P, Youn B D, et al. Copula-Based Statistical Health Grade System Against Mechanical Faults of Power Transformers[J]. IEEE Transactions on Power Delivery, 2012, 27(4): 1809-1819.
[17] Hong K, Huang H, Zhou J. Winding Condition Assessment of Power Transformers Based on Vibration Correlation[J]. IEEE Transactions on Power Delivery, 2015, 30(4): 1735-1742.
[18] Hong K, Huang H, Fu Y, et al. A vibration measurement system for health monitoring of power transformers[J]. Measurement, 2016, 93: 135-147.
[19] Borucki S. Diagnosis of Technical Condition of Power Transformers Based on the Analysis of Vibroacoustic Signals Measured in Transient Operating Conditions[J]. IEEE Transactions on Power Delivery, 2012, 27(2): 670-676.
[20] Wang Y, Pan J. Applications of Operational Modal Analysis to a Single-Phase Distribution Transformer[J]. IEEE Transactions on Power Delivery, 2015, 30(4): 2061-2063.
[21] 骆波, 王丰华, 廖天明, 等. 应用改进复Morlet小波识别电力变压器绕组模态参数[J]. 振动与冲击, 2014, 33(6): 131-136.
Luo Bo, Wang Fenghua, Liao Tianming, et. al. Modal parameters identification of power transformer winding based on the improved complex Morlet wavelet[J]. Journal of Vibration and Shock, 2014, 33(6): 131-136.
[22] Geng C, Wang F, Zhang J, et al. Modal parameters identification of power transformer winding based on improved Empirical Mode Decomposition method[J]. Electric Power Systems Research, 2014, 108(108): 331-339.
[23] Jérôme Gilles. Empirical Wavelet Transform[J]. IEEE Transactions on Signal Processing, 2013, 61(16): 3999-4010.. 
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