| 基于小波神经网络的开关电源的故障诊断 |
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| 引用本文： | 陈特放,邹修铁,刘秋英.基于小波神经网络的开关电源的故障诊断[J].计算机测量与控制,2009,17(1):33-35,38. |
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| 作者姓名： | 陈特放 邹修铁 刘秋英 |
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| 作者单位： | 1. 中南大学信息科学与工程学院,湖南,长沙,410075
2. 湖南大学电气与信息工程学院,湖南,长沙,410082 |
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| 摘 要： | 以非线性小波Morlet基作为激励函数,形成神经元,结合小波变换与神经网络各自的优点,建立集小波分析与神经网络于一体的紧致型小波神经网络;采用能量分布特征提取方法和改进的BP算法,设计了一种基于小波神经网络的故障诊断系统,并应用于开关电源故障诊断中;对实例电路仿真结果表明,该方法能正确识别各种故障状态,准确率高,系统诊断结果与实际相符,验证了该小波神经网络故障诊断系统的有效性。
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| 关 键 词： | 小波变换 神经网络 故障诊断 特征提取 |
Study of Fault Diagnosis of Power Supply Based on Wavelet Neural Network |
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| Chen Tefang,Zou Xiutie,Liu Qiuying.Study of Fault Diagnosis of Power Supply Based on Wavelet Neural Network[J].Computer Measurement & Control,2009,17(1):33-35,38. |
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| Authors: | Chen Tefang Zou Xiutie Liu Qiuying |
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| Affiliation: | 1.School of Information Science and Engineering;Central South University;Changsha 410075;China;2.College of Electrical and Information Engineering;Hunan university;Changsha 410082;China |
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| Abstract: | The tight wavelet neural network was constituted taking the nonlinear Morlet wavelet radices as the stimulant function.It can combine the advantages of wavelet analysis and neural networks.A new efficient fault diagnosis of power supply based on wavelet transform and neural network was presented,the background of wavelet transform was given,and an improved BP algorithm was introduced.Simulation results showed that proposed fault diagnosis approach was feasible and effective. |
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| Keywords: | wavelet transform neural networks fault diagnosis feature extracted |
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