| 模式分类方法在电能质量扰动信号分类中的应用综述 |
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| 引用本文： | 方群会,刘强,周林,马永强,武剑.模式分类方法在电能质量扰动信号分类中的应用综述[J].电网技术,2009,33(1):31-36. |
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| 作者姓名： | 方群会 刘强 周林 马永强 武剑 |
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| 作者单位： | 输配电装备及系统安全与新技术国家重点实验室(重庆大学),重庆市,沙坪坝区,400044
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| 基金项目： | 国家科技部国际科技合作项目，重庆市自然科学基金 |
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| 摘 要： | 文中首先将电能质量扰动信号分类方法划分为模式分类法与非模式分类法，然后简要介绍了模式分类法，综述了人工神经网络、贝叶斯分类、专家系统、支持向量机几种典型的模式分类方法在电能质量扰动信号分类中的应用，对比分析了各种方法的利弊，并对现存的问题及以后的发展趋势进行了展望。
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| 关 键 词： | 电能质量扰动 模式分类 人工神经网络(ANN) 贝叶斯分类 专家系统(ES) 支持向量机(SVM) |
| 收稿时间： | 2008-04-21 |
A Survey on Application of Pattern Classification in Power Quality Disturbance Signals Classification |
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| FANG Qun-hui LIU Qiang ZHOU Lin MA Yong-qiang WU Jian.A Survey on Application of Pattern Classification in Power Quality Disturbance Signals Classification[J].Power System Technology,2009,33(1):31-36. |
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| Authors: | FANG Qun-hui LIU Qiang ZHOU Lin MA Yong-qiang WU Jian |
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| Affiliation: | State Key Laboratory of Power Transmission Equipment &; System Security and New Technology
(Chongqing University)，Shapingba District，Chongqing 400044，China
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| Abstract: | Firstly the classification methods for power quality disturbance signals are divided into two categories, namely, the pattern classification and the non-pattern classification; then the pattern classification method is presented concisely and the application of several typical pattern classification methods such as artificial neural network, Bayes classification, expert system and support vector machine in the classification of power quality disturbance signals is summarized. The advantages and disadvantages of these methods are compared and analyzed. The problems existing in power quality disturbance signals classification are pointed out and its development trend is prospected. |
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| Keywords: | power quality disturbance pattern classification artificial neural network (ANN) Bayes classification expert system (ES) support vector machine (SVM) |
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