An Online PD Pulses Recognition Method to Extract PD Pulses Buried in External Interferences

Abstract:

Partial discharge (PD) pulses recognition, which is directly related to the credibility of PD online measurement results, is the key technology of the high-voltage (HV) equipment PD online monitoring. In this paper, a pulses recognition method during PD online measurement was put forward to extract PD pulses buried in external interferences, the method adopted three key steps to identify PD pulses: (a) Firstly, two pretreatments, including discrete spectrum interferences (DSI) suppression and single pulse boundaries determination, are used to convert several consecutive power cycles on-site monitoring signal to plenty of pulse - time sequences; (b) Then, an optimized adaptive clustering algorithm is adopted to classify all pulses into certain categories (c) Finally, the three-dimensional distribution of each category which indicated the pulses phase distribution with power cycles was calculated, and the PD pulses were identified by the statistics characteristics of their three-dimensional distribution. At present, the PD pulses recognition method has been used in industrial application, and on-site monitoring signal processing results has proved the effectiveness of the method.

• Periodical: Applied Mechanics and Materials (Volumes 48-49)
• Pages: 208-214
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.48-49.208
• Online since: February 2011
• Authors: Chuan Li Gong, Yuan Wan, Hai Long Chi, Ye Ping Yang
• Keywords: Adaptive Clustering Algorithm, Discrete Spectrum Interferences (DSI), Online Measurement, Partial Discharge (PD), Pulses Recognition, Three Dimensional Distribution

References

[1] Stephan Happe, Hans-Gerd Kranz, etc: Advanced Suppression of Stochastic Pulse Shaped Partial Discharge Disturbances. IEEE Trans. Diel. Elect. Insul., 2005, 12(2): 265-275.

DOI: 10.1109/tdei.2005.1430396

[2] A. Cavallini, A. Comtin, et al : Advanced PD Inference in On-Field Measurements. Part I: Noise Rejection. IEEE Trans. Diel. Elect. Insul. 2003, 10(2): 216-224.

DOI: 10.1109/tdei.2003.1194102

[3] H. Okubo, N. Hayakawa and A. Matsushita: The Relationship Between Partial Discharge Current Pulse Waveforms and Physical Mechanisms, IEEE Elect. Insul. Magazine. 2002, 18(3): 31-38.

DOI: 10.1109/mei.2002.1014966

[4] V. Nagesh and B.I. Gururaj: Automatic detection and elimination of periodic pulse shaped interferences in partial discharge measurements. IEE Proc. -Sci. Mens. Technol., 1994, 141(5):. 335-342.

DOI: 10.1049/ip-smt:19941064

[5] S. Sriram, S. Nitin, etc: Signal Denoising Techniques for Partial Discharge Measurements. IEEE Trans. Diel. Elect. Insul. 2005, 12(6): 1182-1191.

DOI: 10.1109/tdei.2005.1561798

[6] Wang Rongxin: Mathematical Statistic[M] , XI'AN JIAO TONG UNIVERSITY PRESS, (1986).