| 基于免疫抗体生成算法的电力变压器故障诊断 |
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| 引用本文： | 李中,苑津莎. 基于免疫抗体生成算法的电力变压器故障诊断[J]. 华北电力大学学报(自然科学版), 2009, 36(4) |
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| 作者姓名： | 李中 苑津莎 |
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| 作者单位： | 华北电力大学电气与电子工程学院,河北,保定,071003;华北电力大学电气与电子工程学院,河北,保定,071003 |
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| 摘 要： | 提出了一种基于人工免疫的抗体生成算法,并将其应用于电力变压器的故障诊断。抗体生成算法仿生生物免疫系统中抗体对抗原的识别与记忆的机理,先对训练样本进行免疫学习和记忆,提取表征样本的有效特征,形成表征样本特征的记忆抗体集,再用最邻近分类法对测试样本进行分类识别。UCI的Iris数据集和电力变压器故障数据的仿真分析结果表明,抗体生成算法能够进行有效的分类,并具有很高的准确率。
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| 关 键 词： | 电力变压器 故障诊断 人工免疫 算法 |
Fault diagnosis of power transformer based on artificial immune antibody generation algorithm |
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| LI Zhong,YUAN Jin-sha. Fault diagnosis of power transformer based on artificial immune antibody generation algorithm[J]. Journal of North China Electric Power University, 2009, 36(4) |
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| Authors: | LI Zhong YUAN Jin-sha |
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| Affiliation: | School of Electrical and Electronic Engineering;North China Electric Power University;Bao ding 071003;China |
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| Abstract: | In this paper,the antibody generation algorithm is proposed,and this algorithm is applied to fault diagnosis of power transformer.The antibody generation algorithm is enlightened by the recognition and memory abilities of antibody.Antibodies are trained to learn the feature of training samples, then the memory antibody set is formed.Nearest neighboring rule is used to classify the test samples.Test results on Iris dataset from the UCI(University of California,Irvine) and power transformer diagnosis indicate... |
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| Keywords: | power transformer fault diagnosis artificial immune algorithm |
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