Institute of Electrical Engineering, the Key Lab of Measurement Technology and Instrumentation of Hebei Province, Yanshan University, Qinhuangdao, Hebei 066004, China
Abstract：A new fault line selection method for small current grounding system based on ensemble empirical mode of decomposition (EEMD) and correlation dimension is proposed. EEMD is ideal for the fault signal processing of small current grounding system, which could not only achieve the same effect with the empirical mode decomposition (EMD), but also suppress aliasing mode effectively when processing nonlinear and non-stationary signal. The correlation dimension could reflect the feature quantity of the system state, analyze the fault condition quantitatively, and improve the capabilities of fault diagnosis. Phase space reconstruction is necessary before calculating the correlation dimension, and the maximum joint entropy algorithm is introduced to get the optimal delay time, which simplifies the algorithm, and shortens the calculation time of the correlation dimension compared with the mutual information requirements delay time. Finally, G-P algorithm is adopted to calculate the correlation dimension, realizing fault line selection by comparing the numerical of correlation dimension. The experiment results show that the proposed method could select fault line rapidly and accurately, providing an effective method for the small current grounding fault line selection.
张淑清,赵朋程,陈颖,刘子玥,张立国,严冰. 基于EEMD和关联维数的小电流接地故障选线[J]. 计量学报, 2016, 37(3): 300-305.
ZHANG Shu-qing,ZHAO Peng-cheng,CHEN Ying,LIU Zi-yue,ZHANG Li-guo,YAN Bing. Fault Selection for Small Current Grounding System based on EEMD and the Correlation Dimension Algorithm. Acta Metrologica Sinica, 2016, 37(3): 300-305.
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2016, Vol. 37 
