| .基于多分类器融合的XLPE电缆局部放电模式识别研究[J].电气自动化,2011,(3): |
| 基于多分类器融合的XLPE电缆局部放电模式识别研究 |
| Pattern Recognition of Partial Discharge in XLPE Cable Based on Multiple Classifier Fusion |
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| DOI： |
| 中文关键词: 局部放电 XLPE电缆 多分类器融合 主成分分析 模式识别 |
| 英文关键词:partial discharge XLPE cable multiple classifier fusion PCA pattern recognition |
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| 中文摘要: |
| 将多分类器融合的方法应用到XLPE电缆的局部放电模式识别中。针对几种典型的XLPE电缆局部放电类型,提取放电统计特征参数,采用主成分分析(PCA)降维后,应用基于AdaBoost的多感知器神经网络融合分类模型进行分类。实验结果表明算法能有效提高基本分类器的准确率,提供了一种用于局部放电模式识别新的有效方法。 |
| 英文摘要: |
| The paper applied multiple classifier fusion to the pattern recognition of partial discharge of XLPE cable.AdaBoost-based multi-layer perceptron neural network was adopted to deal with the statistical characteristics which were preprocessed by PCA to reduce dimension.The result shows that this algorithm can effectively improve the accuracy of the basic classifier in the field of pattern recognition of partial discharge of XLPE cable. |
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