A novel automatic pulse segmentation approach and its application in PD-induced electromagnetic wave detection

IEEE Transactions on Dielectrics and Electrical Insulation

Volumn 24, Issue 1, 2017, Pages 304-315

  Long, Jiachuan ^a   Wang, Xianpei ^a   Tian, Meng ^a   Dai, Dangdang ^a   Zhu, Guowei ^a   Zhang, Jun ^b  

^a WUHAN UNIVERSITY   (China)

^b CHINA ELECTRIC POWER RESEARCH INSTITUTE   (China)

Author keywords

electromagnetic wave; instantaneous phase; multi scale morphological filter; Partial discharge; pulse segmentation; UHF

Indexed keywords

CIRCULAR WAVEGUIDES; DIGITAL STORAGE; ELECTROMAGNETIC WAVES; MATHEMATICAL TRANSFORMATIONS; PARTIAL DISCHARGES; SIGNAL DETECTION; SIGNAL TO NOISE RATIO;

BOUNDARY IDENTIFICATION; DETECTION ERROR RATE; ELECTROMAGNETIC WAVE DETECTION; INSTANTANEOUS PHASE; MORPHOLOGICAL FILTERS; NOISE INTERFERENCE; SEGMENTATION TECHNIQUES; ULTRA HIGH FREQUENCY SENSORS;

ELECTRIC DISCHARGES;

EID: 85015756916     PISSN: 10709878     EISSN: None     Source Type: Journal    
DOI: 10.1109/TDEI.2016.006064     Document Type: Article

References (22)

1. M. Wu, H. Cao, J. Cao, H. Nguyen, J. B. Gomes and S. P. Krishnaswamy, "An overview of state-of-the-art partial discharge analysis techniques for condition monitoring", IEEE Electr. Insul. Mag., Vol. 31, No. 6, pp. 22-35, 2015.
2. A. H. El-Hag, "Promoting condition monitoring and diagnostics of electrical insulation in undergraduate capstone graduation projects", IEEE Electr. Insul. Mag., Vol. 31, No.5, pp. 8-15, 2015.
3. S. Okabe, G. Ueta, H. Hama, T. Ito, M. Hikita and H. Okubo, "New aspects of UHF PD diagnostics on gas-insulated systems", IEEE Trans. Dielectr. Electr. Insul., Vol. 21, No. 5, pp.2245-2258, 2014.
4. M.D. Judd, L. Yang and I. B. B. Hunter, "Partial discharge monitoring of power transformers using UHF sensors part I: sensors and signal interpretation", IEEE Electr. Insul. Mag., Vol. 21, No. 2, pp. 5-14, 2005.
5. M. Ashtiani and S. Shahrtash, "Partial discharge pulse localization in excessive noisy data window", IEEE Trans. Dielectr. Electr. Insul., Vol. 22, No. 1, pp. 428-435, 2015.
6. A. A. Bajwa, S. Habib and M. Kamran, "An investigation into partial discharge pulse extraction methods", Int'l. J. Electr. Power Energy Syst., Vol.73, No., pp. 964-982, 2015.
7. Z. Zhang, D. Xiao and Y. Liu, "A wavelet transform approach to adaptive extraction of partial discharge pulses from interferences", IEEE/PES Power Syst. Conf. Exposition, Seattle, WA, USA, pp. 1-7, 2009.
8. H. Azami, S. Sanei, K. Mohammadi and H. Hassanpour, "A hybrid evolutionary approach to segmentation of non-stationary signals", Digital Signal Processing, Vol. 23, No. 4, pp.1103-1114, 2013.
9. C. D. Papadaniil and L. J. Hadjileontiadis, "Efficient heart sound segmentation and extraction using ensemble empirical mode decomposition and kurtosis features", IEEE J. Biomed. Health, Vol. 18, No. 4, pp. 1138-1152, 2014.
10. H. Tang, T. Li, Y. Park and T. Qiu, "Separation of heart sound signal from noise in joint cycle frequency-time-frequency domains based on fuzzy detection", IEEE Trans. Biomed Eng., Vol. 57, No.10, pp. 2438-2447, 2010.
11. I. Ozbek and H. Shamsi, "Heart sound localization in respiratory sound based on a new Computationally-Efficient entropy bound", IEEE J. Biomed. Health, Issue 99, 2015.
12. L. C. Andrade, M. Oleskovicz and R. A. Fernandes, "Adaptive threshold based on wavelet transform applied to the segmentation of single and combined power quality disturbances", Appl. Soft Comput., Vol. 38, pp. 967-977, 2016.
13. E. Akhouayri, D. Agliz and A. Atmani, "Automatic detection and picking of P-wave arrival in locally stationary noise using crosscorrelation", Digital Signal Processing, Vol. 26, pp. 87-100, 2014.
14. Y. Dong, M. Liao, X. Zhang and F. Wang, "Faults diagnosis of rolling element bearings based on modified morphological method", Mechanical Syst. Signal Processing, Vol. 25, No. 4, pp. 1276-1286, 2011.
15. T. Y. Ji and Q. H. Wu, "Broadband noise suppression and feature identification of ECG waveforms using mathematical morphology and embedding theorem", Computer Methods Programs in Biomedicine, Vol. 112, No. 3, pp. 466-480, 2013.
16. L. Chen, P. Wang and L. Xu, "Novel detection method for DC series arc faults by using morphological filtering", J. China Universities Posts Telecommunications, Vol. 22, No. 5, pp. 84-91, 2015.
17. B. Li, P. Zhang, Z. Wang, S. Mi and D. Liu, "A weighted multi-scale morphological gradient filter for rolling element bearing fault detection", ISA Trans. Int'l. Soc. Automation, Vol. 50, No. 4, pp. 599-608, 2011.
18. B. Li, P. Zhang, Z. Wang, S. Mi and Y. Zhang, "Gear fault detection using multi-scale morphological filters", Measurement, Vol. 44, No. 10, pp. 2078-2089, 2011.
19. Z. Cai, R. H. Wilkinson and A. Bojovschi, "Partial discharge detection approach for a medium voltage switchgear system", Progress Electromagnetics Research, Vol. 144, No., pp. 221-228, 2014.
20. J. Tang, F. Liu, X. Zhang, Q. Meng and J. Zhou, "Partial discharge recognition through an analysis of SF6 decomposition products part 1: Decomposition characteristics of SF6 under four different partial discharges", IEEE Trans. Dielectr. Electr. Insul., Vol. 19, No. 1, pp. 29-36, 2012.
21. H. Azami, H. Hassanpour, J. Escudero and S. Sanei, "An intelligent approach for variable size segmentation of non-stationary signals", J. Advanced Research, Vol. 6, No. 5, pp. 687-698, 2015.
22. A. D. Poularikas, Handbook of Formulas and Tables for Signal Processing, CRC Press, 1998.