Denoising Method of Cable Partial Discharge Signal based on Improved VMD and Permutation Entropy

Wenlei Zou ； Laijun Zhao ； Kang Sun ； Yanzhou Sun ； Penghui Liu

《International Core Journal of Engineering》 9卷4期 (2023/04) Pp. 56-63

https://doi.org/10.6919/ICJE.202304_9(4).0009

摘要

In order to effectively suppress the periodic narrowband interference, a noise reduction method based on improved variational mode decomposition and permutation entropy is proposed. Firstly, aiming at the problem that variational mode decomposition algorithm (VMD) may under decompose or over decompose in the decomposition process, a method to determine the optimal mode decomposition number based on the mean orthogonal value is proposed. Secondly, the permutation entropy is applied to the selection and reconstruction of effective components to filter out the periodic narrowband interference according to the characteristics that the periodic narrowband interference is more regular than the partial discharge signal in a certain frequency band; This method, variational mode decomposition based on conventional method and ensemble empirical mode decomposition are used to reduce the noise of simulated a signals respectively. The results show that the method has high noise rejection ratio, small waveform distortion and can effectively remove periodic narrowband interference.

關鍵字

Partial Discharge ； Mean Orthogonal Value ； VMD ； Permutation Entropy ； De‐noise

參考文獻

J. Zhong, X.W. Bi, Q. Shu, et al. Partial discharge signal denoising based on singular value decomposition and empirical wavelet transform[J]. Transactions on Instrumentation and Measurement, Vol. 69(2020), No. 11, p. 8866-8873.

W.X. Yang, K. Peng, K.X. Wei, et al. Superiorities of variational mode decomposition over empirical mode decomposition particularly in time-frequency feature extraction and wind turbine condition[J]. Renewable Power Generation, Vol. 11(2017), No. 4, p. 443-452.

K. Dragomiretskiy, D. Zosso. Variational mode decomposition[J]. IEEE Transactions on Signal Processing, Vol. 62(2014), No. 3, p. 531-544.

W. Xue, X.Y. Dai, J.C. Zhu, et al. A noise Suppression method of ground penetrating radar based on EEMD and permutation entropy[J]. Geoscience and Remote Sensing Letters, Vol. 16(2019), No. 10, p. 1625-1629.

K. Sun, J.D. Guo, X.H. Ma. On-line detection and localization of high voltage cable partial discharge by wavelet packet and kurtosis method[J]. Journal of Electronic Measurement and Instrument, Vol. 31(2017), No. 6, p. 1099-1106.