| 基于小波包变换和神经网络的逆变器故障诊断 |
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| 引用本文： | 戴鹏,蔡云,符晓,宋中仓.基于小波包变换和神经网络的逆变器故障诊断[J].电源技术应用,2011(8):17-22. |
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| 作者姓名： | 戴鹏 蔡云 符晓 宋中仓 |
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| 作者单位： | 中国矿业大学信电学院,江苏徐州221008 |
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| 摘 要： | 本文提出了一种基于小波包变换和神经网络的PWM逆变器故障诊断方法。利用小波包分解的分频特性对逆变器机侧电流信号进行小波包分解，求得故障特征频率相应子频带的信号能量值，将此作为神经网络的输入，通过对神经网络的训练，确定网络参数，对故障数据的分析，达到故障诊断的目的。仿真结果表明该方法的有效性。
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| 关 键 词： | PWML逆变器 小波包变换 神经网络 故障诊断 |
Fault Diagnosis for Inverters Based on Wavelet Packet Transform and Neural Network |
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| DAI Peng,CAI Yun,FU Xiao,SONG Zhongcang.Fault Diagnosis for Inverters Based on Wavelet Packet Transform and Neural Network[J].Power Supply Technologles and Applications,2011(8):17-22. |
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| Authors: | DAI Peng CAI Yun FU Xiao SONG Zhongcang |
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| Affiliation: | (School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221008, China) |
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| Abstract: | This paper presents a method of fault diagnosis for inverters based on wavelet packet and neural network. By utilizing the frequency decomposition of the wavelet packet, the current signal in motor side is decomposed, and then the energy value of fault characteristic frequency in the corresponding sub-band is obtained. With the use of the value as the input of neural network, the network trained to determine network parameters and the fault data analyzed, the purpose of fault diagnosis is achieved. |
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| Keywords: | PWM Inverter Wavelet Packet Transform Neural Networks Fault Diagnosis |
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