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| 基于SVM的断路器状态监视诊断方法研究 | |
| 引用本文： | 徐健,袁鹏,张博文. 基于SVM的断路器状态监视诊断方法研究[J]. 能源工程, 2012, 0(4): 24-26,44 |
| 作者姓名： | 徐健 袁鹏 张博文 |
| 作者单位： | 1. 浙江省金华电业局,浙江金华,321017 2. 浙江大学电气工程学院,浙江杭州,310027 3. 西南交通大学电气工程学院,四川成都,610031 |
| 基金项目： | 教育部博士点基金资助项目(20090101110058); 国家自然科学基金资助项目(51177143) |
| 摘 要： | 提出了一种基于支持向量机(SVM)的断路器监视诊断方法,通过对断路器故障时的特性参数向量进行训练推理,实现断路器在线监视诊断,并用实例验证了该方法的准确性和快速性。 |
| 关 键 词： | 断路器 监视诊断 特性参数 支持向量机 |
A method of circuit breaker monitoring and fault diagnosis based on SVM |
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| XU Jian , YUAN Peng , ZHANG Bo-wen. A method of circuit breaker monitoring and fault diagnosis based on SVM[J]. Energy Engineering, 2012, 0(4): 24-26,44 | |
| Authors: | XU Jian YUAN Peng ZHANG Bo-wen |
| Affiliation: | 1.Jinhua Electric Power Bureau,Jinhua 321017,China; 2.College of Electrical Engineering,Zhejiang University,Hangzhou 310027,China; 3.College of Electrical Engineering,Southwest Jiaotong University,Chengdu 610031,China) |
| Abstract: | A method of circuit breaker monitoring and fault diagnosis based on SVM was brought up.By training the characteristic parameter vectors when faults happen and reasoning afterward,it can realize online monitoring and fault diagnosis of circuit breakers.The accuracy and rapidity of this method was tested by actual experiment. |
| Keywords: | circuit breaker monitoring and fault diagnosis characteristic parameter support vector machine |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |