Study on Mechanical State Diagnosis of Power Transformer Winding Based on Vibration Method

Bin Zhang; Jiang Bo Chen; Hui Li; Jian Yuan Xu

doi:10.4028/www.scientific.net/AMM.670-671.1140

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 670-671Study on Mechanical State Diagnosis of Power...

Study on Mechanical State Diagnosis of Power Transformer Winding Based on Vibration Method

Abstract:

This paper uses the vibration method to diagnose the mechanical state of transformer winding,directed against the fact that the accuracy of the mechanical fault diagnosis in transformer winding is not high. It collects the load test vibration signal of transformer winding in normal and abnormal state, analyzes the vibration signals in different states, and use the vibration frequency and load current matching to judge the winding condition. By setting the different faults to the actual transformer winding of S11-M-500/35 type, it uses the vibration method to do the diagnosis analysis. And the research content is of great significance for the promotion and application of vibration analysis method.

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Periodical:

Applied Mechanics and Materials (Volumes 670-671)

Pages:

1140-1144

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.670-671.1140

Citation:

Cite this paper

Online since:

October 2014

Authors:

Bin Zhang*, Jiang Bo Chen, Hui Li, Jian Yuan Xu

Keywords:

Fault Diagnosis, Transformer Winding, Vibration Signal

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* - Corresponding Author

References

[1] LI Jun, DONG Liwen, ZHAO Hong. Aging and life assess-ment of oil-immersed transformer[J]. High Voltage Engineering, 2007, 33(3): 186-189.

Google Scholar

[2] LIAO Ruijin, MENG Fanjing, ZHOU Nianrong, et al. Assessment strategy for inner insulation condition of power transformer based on Set-pair analysis and evidential reasoning decision-making[J]. High Voltage Engineering, 2014, 40(2): 474-481.

Google Scholar

[3] LIN Xin, XUE Jun, XU Jianyuan. Application of three phase algorithm s in parameter identification of transformer winding[J]. Journal of Shenyang University of Technology, 2009, 31(1): 16-21.

Google Scholar

[4] HE Ping, WEN Xishan. Survey of Frequency Response Analysis on Winding Deformation of Transformers[J]. High Voltage Engineering, 2006, 32(5): 37-41.

Google Scholar

[5] Wu Shuyou. Research on Condition Monitoring and Fault Diagnosis of Power Transformer Based on Vibration Signal Analysis[D]. Hefei：School of Engineering Science of University of Science and Technology of China, 2009: 66-68.

Google Scholar

[6] JI Shengchang, WANG Shishan, LI Qingquan, et al. The application of vibration method in monitoring the condition of transformer windings[J]. High Voltage Engineering, 2002, 28(1): 12-15.

Google Scholar