| 宿 磊,沈 煜,杨 帆,徐丙垠,薛永端,王 玮,邹国锋.融合 CEEMDAN 分解与敏感 IMF 精选的
串联电弧故障检测[J].电子测量与仪器学报,2022,36(10):173-180 |
| 融合 CEEMDAN 分解与敏感 IMF 精选的
串联电弧故障检测 |
| Series arc fault detection combining CEEMDANdecomposition and sensitive IMF selection |
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| DOI： |
| 中文关键词: 电弧检测 CEEMDAN 分解 频段划分 敏感 IMF 选取 时间窗特征计算 支持向量机 |
| 英文关键词:arc detection CEEMDAN decomposition frequency division sensitive IMF selection time window feature calculation SVM |
| 基金项目:国家自然科学基金项目(52077221)、国网湖北省电力有限公司科技项目(52153220001V)资助 |
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| 中文摘要: |
| 针对串联电弧故障检测困难,以及基于分解策略的检测方法难以捕获敏感判别分量的问题,提出一种融合自适应噪声
的完备经验模态分解(CEEMDAN)和敏感本征模态函数(IMF)精选的串联电弧故障检测方法。 本方法采用 CEEMDAN 算法对
故障电弧电流进行完备分解;并定义了电弧电流的 12 个特征指标,以敏感性较强的峭度指标和能量特征作为判定依据,从而实
现了 IMF 分量的频段划分;在此基础上,提出了基于时间窗的特征计算方法,通过获取各高频 IMF 分量的时间维度局部特征,
并通过比较方差、均方根值等特征指标实现敏感 IMF 分量的准确选取。 最后,针对电流特征集,采用主成分分析实现二次降
维,并基于支持向量机(SVM)实现串联电弧故障检测。 实验证明了所提方法的可行性和电弧故障检测的有效性。 |
| 英文摘要: |
| Aiming at the difficulty of series arc fault detection and the difficulty of detection method based on decomposition strategy to
capture sensitive discriminant components, a series fault arc detection method combining complete ensemble empirical mode
decomposition with adaptive noise (CEEMDAN) decomposition and sensitive intrinsic mode function( IMF) selection was proposed. In
this paper, the CEEMDAN algorithm was first applied to complete decomposition of arc current in series faults. Then, 12 feature
indicators of arc current were defined, and the frequency band division of IMF component was realized according to the kurtosis index
and energy feature which were more sensitive. On this basis, a feature calculation method based on time window was proposed to obtain
the local features of the time scale of each high-frequency IMF component. Accurate selection of sensitive IMF components was realized
by comparing feature indexes such as variance and root mean square value. Finally, for the current feature set, the second dimension
reduction was realized by principal component analysis, and the series fault arc detection was implemented based on SVM. The
feasibility of the proposed method and the validity of fault arc detection were proved by practical experiments. |
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