基于全息希尔伯特频谱分析的交流串联电弧故障电流特征研究OA

To solve the problem of extraction and analysis of alternative-current series arc fault characteristics,an analysis methodology that applies iterated masking empirical mode decomposition(itEMD)for current signal decomposition to obtain multi-layer intrinsic mode functions(IMFs)is proposed,and Holo-Hilbert transform(HHT)is utilized to represent high-dimensional amplitude-modulation-and-frequency-modulation(AM-FM)spectra,so that the high discriminative characteristic spectra of series arc faults can be achieved.The arc fault current signals are acquired under seven masking load modes in accordance with GB/T 31143-2014,and arc fault characteristics under different conditions are investigated by the proposed methodology.The presented study is of significant theoretical importance to the development of arc fault detection techniques.