| 基于小波神经网络的开关磁阻发电机故障预测模型研究 |
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| 引用本文： | 李宁,雷洪利,韩建定,朱喜华.基于小波神经网络的开关磁阻发电机故障预测模型研究[J].计算机测量与控制,2011,19(8). |
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| 作者姓名： | 李宁 雷洪利 韩建定 朱喜华 |
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| 作者单位： | 空军工程大学工程学院,陕西西安,710038 |
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| 基金项目： | 陕西省自然科学基金(SJ08F05) |
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| 摘 要： | 开关磁阻发电机因其具有发电容量大、效率高、起动和发电组合容易等优点而拥有很大的应用前景和价值;首先利用MAT-LAB软件对开关磁阻发电机的电气故障进行了仿真,相电阻0.1Ω,导通角28°,关断角55°,转速7500rad/s,负载电阻114Ω,输出电容2000μF,得出故障下的特征数据,然后,鉴于小波神经网络预测算法结合了小波变换良好的时频局域化性质及传统神经网络自学习功能,建立了开关磁阻发电机基于小波神经网络的典型故障预测模型,仿真结果证明其良好的性能。
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| 关 键 词： | MATLAB/simulink 小波神经网络 故障预测 仿真 开关磁阻发电机 |
Fault Forecast Model of SRG Based on Wavelet Neural Network |
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| Li Ning,Lei Hongli,Han Jianding,Zhu Xihua.Fault Forecast Model of SRG Based on Wavelet Neural Network[J].Computer Measurement & Control,2011,19(8). |
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| Authors: | Li Ning Lei Hongli Han Jianding Zhu Xihua |
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| Affiliation: | Li Ning,Lei Hongli,Han Jianding,Zhu Xihua(Engineering College Air-force Engineering University,Xi'an 710038,China) |
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| Abstract: | Swiched reluctance generator with the more high need to the power system of more-electric aircraft(MEA),which has the high value and apply foreground,the paper firstly finished the MATLAB emulation of electric fault of SRG,gaining the pressure signal,secondly,because wavelet neural network combined the good time-frequency property of wavelet transformation and the studying ability,establish the Fault forecast model of SRG based on wavelet neural network,the simulation result certificate the good function. |
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| Keywords: | MATLAB/simulink wavelet neural network fault forecast simulation swiched reluctance generator |
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