LOW VOLTAGE APPARATUS ›› 2024, Vol. 0 ›› Issue (6): 8-16.doi: 10.16628/j.cnki.2095-8188.2024.06.002

• Research & Analysis • Previous Articles     Next Articles

Research on Characteristics of AC Series Fault Arcs Based on Holo-Hilbert Spectral Analysis

WU Ziran, HAN Yan, CHEN Chong   

  1. The Key Laboratory of Low-Voltage Apparatus Intellectual Technology of Zhejiang,Wenzhou University,Wenzhou 325000, China
  • Received:2024-03-27 Online:2024-06-30 Published:2024-07-15

Abstract:

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.

Key words: alternative-current arcs, series arc faults, Holo-Hilbert spectral analysis, iterated masking empirical mode decomposition

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