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Analysis of Various ESDD of Contaminant Insulator Flashover Acoustic Signal by Wavelet Packet Cover

Analysis of Various ESDD of Contaminant Insulator Flashover Acoustic Signal by Wavelet Packet

Open Access
|Jan 2017

References

  1. 1. Wang, F., K. Yuan, N. Shu. Recognition of Contamination Discharge Development Stage of Insulators Based on Principal Component and Wavelet. – Insulating Materials, Vol. 48, 2015, No 4, pp. 52-56.
  2. 2. Qiangfeng, X. Research Status of Electrical Characteristics of Icing Post Insulator. – Insulating Materials, Vol. 44, 2011, No 4, pp. 47-56.
  3. 3. Ranachowski, P., F. Rejmund, Z. Ranachowski et al. Acoustic Investigations of Long-Rod Insulators and Their Material Properties. – IEEE Transactions on Dielectrics and Electrical Insulation, Vol. 17, 2010, No 1, pp. 81-88.10.1109/TDEI.2010.5412005
  4. 4. Shao, C., Y. Zhen, T. Shuangshuang. Study on Focusing Acoustic Sensor Device for Insulator Contamination Discharge Monitoring Method. – Electrical Measurement & Instrumentation, Vol. 52, 2015, No 18, pp. 10-15.
  5. 5. Li, H., X. Wen, N. Shu et al. Application of Acoustic Emission Technology on Monitoring of Polluted Insulator Discharge. – In: Asia-Pacific Power and Energy Engineering Conference, (APPEEC’09), Wuhan, China, 2009, pp. 1-4.10.1109/APPEEC.2009.4918180
  6. 6. Lu, M., Z. Wang, X. Jiang. Application of the Ultrasonic Technology Based on Focused Sensor in Detecting Insulator Contamination Discharge. – East China Electric Power, Vol. 41, 2013, No 7, pp. 1569-1572.
  7. 7. Wang, C., D. Dai, Y. Yang. Experimental Research on Acoustic Emission of Discharge from the Power Transmission System. – Automation of Electric Power Systems, Vol. 31, 2007, No 19, pp. 80-84.
  8. 8. Wang, C. Research on Spreading Characteristics of Acoustics Emission Wave from Discharge of Insulators. – High Voltage Apparatus, Vol. 43, 2007, No 1, pp. 52-55.
  9. 9. Wang, C. Experimental Research on Acoustics Emission from Discharge of Insulators. – High Voltage Apparatus, Vol. 32, 2006, No 3, pp. 51-53.
  10. 10. Wang, C. Experiental Research on Acoustics Flashover Emission from Discharge of Insulators. – In: Conference of the Power System Chinese Colleges and Automation Twenty Fourth Annual, 2008, pp. 1326-1329.
  11. 11. Li, T. Research on Acoustic Signal and Insulator Contamination Degree Prediction. – Shanxi Electric Power, 2010, No 3, pp. 38-41.
  12. 12. Li, H., X. Wen. Statistical Fingerprint Analysis for Contaminated Insulator Acoustic Emission Signals. – High Voltage Apparatus, Vol. 36, 2010, No 11, pp. 2705-2709.
  13. 13. Zhang, Z. Present Situation and Prospect of Research on Flashover Characteristics of Polluted Insulators. – Power System Technology, Vol. 30, 2006, No 2, pp. 35-40.
  14. 14. Li, L., L. Teng, C. Huang. Envelope Analysis and Defects Identification of Partial Discharge U HF Signals in GIS. – High Voltage Engineering, Vol. 35, 2009, No 2, pp. 260-265.
  15. 15. Si, W., J. Li, P. Yuan. Detection and Identification Techniques for Multi-PD Source in GIS. – Proceedings of the CSEE, Vol. 29, 2009, No 16, pp. 119-126.
  16. 16. Qi, P. R. Porcelain Insulator Structure, Type of Effect on the AC Pollution Flashover Characteristics of the Research Status and Prospect. – Yunnan Electric Power Equipment Manufacturing Industry Revitalization and Innovation BBS, 2007, No 12, pp. 181-188.
  17. 17. Zhang, D. Matlab Wavelet Analysis. Mechanical Industry Press, 2009.
  18. 18. Xue, N. Matlab in the Application of Digital Signal Processing. Tsinghua University Press, 2003.
DOI: https://doi.org/10.1515/cait-2016-0090 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
Language: English
Page range: 220 - 231
Published on: Jan 25, 2017
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2017 Hong Kun Wang, Shou Xiang Wang, Jing Nie, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.