Identification of Transformer Inrush Current Based on Wavelet Packet Energy Spectrum

Mao Fa Gong; Mei Rong Li; Zheng Gong; Fan Jiao Yin; Zhong Gang Wang; An Yang Wang

doi:10.4028/www.scientific.net/AMM.741.340

Paper Titles

Research and Development of Machine Vision Detection System for Transparent Paper Package
p.319

Early Visualization Detection of Gray Mold (Botrytis) on Eggplant Leaves Based on Multi-Spectral Image
p.323

Design of the Elevator Wireless Monitoring System Based on LabVIEW
p.328

A High-Sensitivity Micromechanical Silicon Resonant Accelerometer without Mechanical Coupling
p.333

Identification of Transformer Inrush Current Based on Wavelet Packet Energy Spectrum
p.340

A close to Real-Time Intelligent System for Enumerating Total Viable Bacteria Based on Pattern Recognition Technology
p.344

Design of the Automatic Diagnostician System Based on Palm Images
p.350

The Detection Method of Lane Line Based on the Improved Otsu Threshold Segmentation
p.354

Cooperative Artificial Fish Swarm Optimization
p.359

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 741Identification of Transformer Inrush Current Based...

Identification of Transformer Inrush Current Based on Wavelet Packet Energy Spectrum

Abstract:

In this paper, a new method using wavelet packet energy spectrum to identify transformer inrush and internal fault current was proposed. Wavelet packet transform respectively decomposed inrush and fault current, then calculated the energy of each frequency band of decomposed signal. Finally, the conclusion showed that the energy of internal fault in high frequency band is much less than that of inrush. The difference was quantified and it could be observed intuitively. Through extensive simulations, this paper proves that the method in terms of identifying transformer inrush is accurate and effective.

You might also be interested in these eBooks

Engineering Solutions for Manufacturing Processes V

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 741)

Pages:

340-343

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.741.340

Citation:

Cite this paper

Online since:

March 2015

Authors:

Mao Fa Gong, Mei Rong Li*, Zheng Gong, Fan Jiao Yin, Zhong Gang Wang, An Yang Wang

Keywords:

Energy Spectrum, Inrush Current, Transformer, Wavelet Packet

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] YANG Zhonghao, DONG Xinzhou. Method for exciting inrush detection in transformers using wavelet transform[J]. Journal of Tsinghua University(Science&Technology). 2002, 42(9), pp.1184-1187.

Google Scholar

[2] SHAO De-jun, YIN Xiang-gen, ZHANG Zhe, et al. Improved Second Harmonic Restrained Method for Energizing Inrush Current[J]. Power System Technology. 2006, 30(24), pp.84-88.

Google Scholar

[3] WANG Zu-guang. Intermittent Angle Principle of Transformer Differential Protection[J]. Power System Automation. 1979, 3(1), pp.18-30.

Google Scholar

[4] ZHAO Hai-long, WANG Fang, HU Xiao-guang. Application of Wavelet Packet-Energy Spectrum in Mechanical Fault Diagnosis of High Voltage Circuit Breakers[J]. Power System Technology. 2004, 28(6), pp.46-48.

Google Scholar

[5] WANG Dong-yun, ZHANG Wen-zhi, ZHANG Jian-gang. Application of Wavelet Packet Energy Spectrum in Rolling Bearing Fault Diagnosis[J]. Bearing. 2010(11), pp.32-36.

Google Scholar

[6] He Yinzhi, Shen Song, Ying Huaiqiao, et al. Application of Wavelet Packet Decomposition and Its Energy Spectrum on the Fault Diagnosis of Reciprocation Machinery[J]. Journal of Vibration Engineering. 2001, 14(1), pp.72-75.

Google Scholar