| EEMD分解在电力系统故障信号检测中的应用 |
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| 引用本文： | 陈可,李野,陈澜.EEMD分解在电力系统故障信号检测中的应用[J].计算机仿真,2010,27(3):263-266. |
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| 作者姓名： | 陈可 李野 陈澜 |
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| 作者单位： | 1. 西北工业大学自动化学院,陕西,西安,710072
2. 西北工业大学动力与能源学院,陕西,西安,710072 |
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| 摘 要： | 针对经验模态分解(EMD)的希尔伯特-黄变换(HHT)在电力系统故障信号检测问题,应用存在的模态混叠会导致扰动信号检测失效,为此提出一种基于聚类经验模型分解(EEMD)的故障信号检测的方法。方法通过多次对目标数据加入随机白噪声序列以保证不同区域信号映射的完整性,并且克服了传统EMD分解造成的模态混叠问题,通过EEMD方法提取信号的固有模态函数(IMF),再进行Hilbert变换,利用Hilbert谱对故障暂态和扰动时刻进行检测,通过瞬时频率实现对故障暂态和扰动时刻的准确定位。通过数字仿真分析表明,方法是准确有效的。
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| 关 键 词： | 聚类经验模态分解 希尔伯特-黄变换 故障检测 |
Ensemble Empirical Mode Decomposition for Power Quality Detection Applications |
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| CHEN Ke,LI Ye,CHEN Lan.Ensemble Empirical Mode Decomposition for Power Quality Detection Applications[J].Computer Simulation,2010,27(3):263-266. |
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| Authors: | CHEN Ke LI Ye CHEN Lan |
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| Affiliation: | 1.College of Automation/a>;Northwestern Polytechnical University/a>;Xi'an Shanxi 710072/a>;China/a>;2.College of Power and Energy/a>;China |
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| Abstract: | According to the mode mixing problem caused by empirical mode decomposition(EMD),the Hilbert-Huang transform based on Ensemble Empirical Mode Decomposition(EEMD) is introduced into fault signal detection of power system,it can overcome the mode mixing problem in?a great extent,and ensure the physical meaning of signal components.The signal is firstly decomposed into intrinsic mode function(IMF) by the EEMD method,then Hilbert spectrum is obtained form Hilbert transform.The transient and disturbances can be ... |
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| Keywords: | EEMD Hilbert-Huang transform Fault detection |
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