电器与能效管理技术 ›› 2024, Vol. 0 ›› Issue (6): 8-16.doi: 10.16628/j.cnki.2095-8188.2024.06.002

• 研究与分析 • 上一篇    下一篇

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*

吴自然, 韩燕, 陈冲   

  1. 温州大学 浙江省低压电器工程技术研究中心, 浙江 温州 325000
  • 收稿日期:2024-03-27 出版日期:2024-06-30 发布日期:2024-07-15
  • 作者简介:吴自然(1984—),男,副研究员,研究方向为电器智能化、智能制造、人工智能。|韩 燕(1995—),女,硕士研究生,研究方向为电弧故障检测。|陈 冲(1987—),男,高级工程师,研究方向为先进电力传感与电力电子技术。
  • 基金资助:
    *温州市基础性科研项目(G20210020)

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

摘要:

针对交流串联电弧故障信号特征提取和分析的难题,提出采用循环掩码经验模态分解(itEMD)进行信号分解以获取多层内涵模态分量(IMF),结合全息希尔伯特变换(HHT)展现高维幅度调制-频率调制(AM-FM)谱图的分析方法,从而获取高区分度的电弧故障信号特征谱图。采用基于 GB/T 31143—2014的电弧故障实验平台,采集7种屏蔽负载模式下电弧故障电流信号,分析研究不同环境下电弧故障特征。所提方法对于电弧故障检测技术的开发具有一定的理论指导意义。

关键词: 交流电弧, 串联电弧故障, 全息希尔伯特频谱分析, 循环掩码经验模态分解

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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