A Novel Method for PD Feature Extraction of Power Cable with Renyi EntropyReportar como inadecuado




A Novel Method for PD Feature Extraction of Power Cable with Renyi Entropy - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

School of Electrical Engineering, Northeast Dianli University, Jilin 132012, China





*

Author to whom correspondence should be addressed.



Academic Editor: Carlo Cattani

Abstract Partial discharge PD detection can effectively achieve the status maintenance of XLPE Cross Linked Polyethylene cable, so it is the direction of the development of equipment maintenance in power systems. At present, a main method of PD detection is the broadband electromagnetic coupling with a high-frequency current transformer HFCT. Due to the strong electromagnetic interference EMI generated among the mass amount of cables in a tunnel and the impedance mismatching of HFCT and the data acquisition equipment, the features of the pulse current generated by PD are often submerged in the background noise. The conventional method for the stationary signal analysis cannot analyze the PD signal, which is transient and non-stationary. Although the algorithm of Shannon wavelet singular entropy SWSE can be used to analyze the PD signal at some level, its precision and anti-interference capability of PD feature extraction are still insufficient. For the above problem, a novel method named Renyi wavelet packet singular entropy RWPSE is proposed and applied to the PD feature extraction on power cables. Taking a three-level system as an example, we analyze the statistical properties of Renyi entropy and the intrinsic correlation with Shannon entropy under different values of α . At the same time, discrete wavelet packet transform DWPT is taken instead of discrete wavelet transform DWT, and Renyi entropy is combined to construct the RWPSE algorithm. Taking the grounding current signal from the shielding layer of XLPE cable as the research object, which includes the current pulse feature of PD, the effectiveness of the novel method is tested. The theoretical analysis and experimental results show that compared to SWSE, RWPSE can not only improve the feature extraction accuracy for PD, but also can suppress EMI effectively. View Full-Text

Keywords: wavelet packet transformation; Renyi entropy; partial discharge; feature extraction wavelet packet transformation; Renyi entropy; partial discharge; feature extraction





Autor: Jikai Chen * , Yanhui Dou, Zhenhao Wang and Guoqing Li

Fuente: http://mdpi.com/



DESCARGAR PDF




Documentos relacionados