| 自适应小波分类网络在充油电力设备故障识别中的应用 |
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| 引用本文： | 高文胜,高宁,严璋. 自适应小波分类网络在充油电力设备故障识别中的应用[J]. 电工技术学报, 1998, 0(6) |
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| 作者姓名： | 高文胜 高宁 严璋 |
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| 作者单位： | 西安交通大学 |
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| 摘 要： | 本文针对电力设备故障诊断的特点,提出了一种用于高维数据分析的小波分类网络（ＷａｖｅｌｅｔＣｌａｓｓｉｆｉｃａｔｉｏｎＮｅｔｗｏｒｋ,简称ＷＣＮ）,并结合具体应用研究了提高网络推广能力和抗噪性能的方法。实例检验结果证明了该网络应用的有效性。
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| 关 键 词： | 变换 网络 分类 算法 故障诊断 |
Application of Adaptive Wavelet Classification Network for Fault Diagnosis in Oil Immersed Power Equipment |
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| Gao Wensheng Gao Ning Yan Zhang. Application of Adaptive Wavelet Classification Network for Fault Diagnosis in Oil Immersed Power Equipment[J]. Transactions of China Electrotechnical Society, 1998, 0(6) |
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| Authors: | Gao Wensheng Gao Ning Yan Zhang |
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| Affiliation: | Xi'an Jiaotong University |
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| Abstract: | With the consideration of the characteristic of fault diagnosis,the wavelet classification network(WCN)and its algorithm for analyzing multidimension data are presented.Methods to increase the capacity of generalization and noise suppression are discussed when WCN is used to diagnose the faults by practical testing data.The results prove that WCN is effective and useful. |
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| Keywords: | Wavelet transform Neural network Classification Genetic algorithm Fault diagnosis |
| 本文献已被 CNKI 等数据库收录！ |
