| 基于S变换和多级SVM的电能质量扰动检测识别 |
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| 引用本文： | 吕干云,程浩忠,郑金菊,汪晓东.基于S变换和多级SVM的电能质量扰动检测识别[J].电工技术学报,2006,21(1):121-126. |
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| 作者姓名： | 吕干云 程浩忠 郑金菊 汪晓东 |
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| 作者单位： | 1. 浙江师范大学信息学院,金华,321004
2. 上海交通大学电气工程系,上海,200030 |
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| 摘 要： | 提出了一种基于S变换和多级支持向量机(SVMs)的电能质量扰动检测和识别方法.首先通过S变换对电能质量扰动信号进行时频分析,有效实现对各种扰动的检测输出.然后对检测输出进行时频特征提取,并通过一个N?1级支持向量机器分类器,最后实现N种电能质量扰动信号的分类识别.测试结果表明,该方法能有效识别参数大范围内随机变化的各种电能质量扰动,识别正确率高,且训练时间很短,实时性能好.
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| 关 键 词： | 电能质量扰动 检测 识别 S变换 多级支持向量机 |
| 修稿时间： | 2005年3月24日 |
Power Quality Disturbances Detection and Identification Based on S Transform and Multi-Lay SVMs |
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| Lü Ganyun,Cheng Haozhong,Zheng Jinju,Wang Xiaodong.Power Quality Disturbances Detection and Identification Based on S Transform and Multi-Lay SVMs[J].Transactions of China Electrotechnical Society,2006,21(1):121-126. |
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| Authors: | Lü Ganyun Cheng Haozhong Zheng Jinju Wang Xiaodong |
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| Affiliation: | 1. Zhejiang Normal University Jinhua 321004 China 2. Shanghai Jiaotong University Shanghai 200030 China |
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| Abstract: | A new method based on S-transform and multi-lay support vector machines (SVMs) is presented for power quality(PQ) disturbances detection and identification. Through S-transform time-frequency analysis, the method detects and out put kinds of PQ disturbances effectively. Then, feature components are extracted from the detecting outputs for classification. With an N?1 lay SVMs classifier, N kinds of PQ disturbances are classified by N?1 turns finally. The testing results show that the proposed method could detect and classify the PQ disturbances effectively. The classifier has an excellent performance on training speed and correct ratio. |
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| Keywords: | PQ disturbances detection identification S-transform multi-lay SVMs |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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