| 励磁涌流的参数化时频分析 |
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| 引用本文： | 赵立新,苏玮,伍良生. 励磁涌流的参数化时频分析[J]. 长春光学精密机械学院学报, 2012, 0(2): 134-137 |
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| 作者姓名： | 赵立新 苏玮 伍良生 |
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| 作者单位： | [1]北京工业大学机械工程与应用电子技术学院,北京100022 [2]北京联合大学自动化学院,北京100101 |
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| 基金项目： | 北京市教委科技面上支持项目（KM201011417011） |
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| 摘 要： | 在阐述励磁涌流信号的特征和参数化时频分析方法的基础上,运用遗传算法和粒子群算法对匹配追踪算法进行优化,对励磁涌流和故障电流进行了参数化时频分析。通过比较遗传算法和粒子群算法中的迭代次数对特征值获取的影响以及遗传算法和粒子群算法产生的结果,得出结论：（1）迭代次数增加,匹配追踪算法收敛速度增快;但进一步增加迭代次数,对算法收敛速度影响不大。（2）使用局部粒子群算法对匹配追踪算法进行优化,算法收敛速度较快。通过该分析方法得出的结论,将为使用模式识别对变压器励磁涌流和故障电流进行鉴别提供了依据。
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| 关 键 词： | 励磁涌流 匹配追踪 遗传算法 粒子群算法 |
A Time-frequency Analysis of Transformer Inrush |
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| ZHAO Lixin,SU Wei,WU Liangsheng. A Time-frequency Analysis of Transformer Inrush[J]. Journal of Changchun Institute of Optics and Fine Mechanics, 2012, 0(2): 134-137 |
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| Authors: | ZHAO Lixin SU Wei WU Liangsheng |
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| Affiliation: | 1 (1.Beijing University of Technology, College of Mechanical Engineering and Applied Electronics Technology Beijing 100022 ; 2. Beijing Union University, Automation College, Beijingl00101) |
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| Abstract: | In this paper, based on the introduction of the characteristics and recognition method of Inrush, a Time-Fre- quency analysis on Inrush and internal fault are performed. Through comparison among the effects that different iteration times of same algorithm takes and difference between different algorithm, the following conclusions are drawn： （1） Matching Pursuit algorithm＇ s convergence rate increases as the iteration times increases; （2） Among three optimi- zation algorithm, Local Particle-Swarm Optimization algorithm has better optimized outcomes. These analysis achieve- ments lay a foundation for future study on pattern recognition method in transformer Inrush. |
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| Keywords: | inrush matching pursuit genetic algorithm particle swarm optimization |
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