| 基于小波奇异性和神经网络的高压断路器机械故障诊断 |
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| 引用本文： | 王芳,毛晓桦.基于小波奇异性和神经网络的高压断路器机械故障诊断[J].南京工程学院学报(自然科学版),2005,3(1):23-27. |
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| 作者姓名： | 王芳 毛晓桦 |
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| 作者单位： | 南京工程学院电力工程系,江苏,南京,210013 |
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| 摘 要： | 将小波奇异性检测理论与模糊神经网络相结合应用到高压断路器机械故障诊断中,这是一种新的方法.实验结果表明,该方法较之小波奇异性检测有更好的效果,提高了诊断的准确性和精度.
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| 关 键 词： | 高压断路器 小波奇异性 模糊神经网络 故障诊断 |
| 文章编号： | 1672-2558(2005)01-0023-05 |
| 修稿时间： | 2004年10月25 |
Mechanical Fault Diagnosis of High Voltage Breakers Based on the Wavelet Singularity and Neural Network |
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| WANG Fang,MAO Xiaohua.Mechanical Fault Diagnosis of High Voltage Breakers Based on the Wavelet Singularity and Neural Network[J].Journal of Nanjing Institute of Technology :Natural Science Edition,2005,3(1):23-27. |
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| Authors: | WANG Fang MAO Xiaohua |
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| Abstract: | This paper introduces a new method that combines the wavelet singularity detection with fuzzy NN to process the mechanism vibration signal of the HV breaker. The method, proved more effective and accurate than the wavelet singularity detection, applies both the wavelet singularity exponent of fuzzification and the back propagation of NN to the mechanism fault diagnosis of the HV breaker. |
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| Keywords: | high voltage breaker wavelet singularity fuzzy NN fault diagnosis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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