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- Title
基于模态分解的低压串联电弧故障特征提取方法比较.
- Authors
王玮; 徐丙垠; 邹国锋; 梁栋
- Abstract
The nonlinear, non-stationary, and random characteristics of series arc current in low-voltage AC systems bring great difficulties to fault feature extraction and detection. Meanwhile, mode decomposition methods based on envelope analysis show a good effect in non-stationary signal analysis. Considering the excellent effect of the mode decomposition methods and the practical difficulties of series arc fault detection, six mature mode decomposition methods, such as empirical mode decomposition (EMD), were systematically combed, and the applicability and effectiveness of these methods in arc fault signal analysis and feature extraction were thoroughly analyzed. Then, through the decomposition experiments and feature calculation experiments of measured arc currents, the advantages and disadvantages of mode decomposition methods in arc current feature extraction and fault detection were discussed from different perspectives. Finally, future research direction of mode decomposition were prospected.
- Publication
Science Technology & Engineering, 2023, Vol 23, Issue 17, p7355
- ISSN
1671-1815
- Publication type
Article