| 复励式无刷直流电机故障诊断研究 |
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| 引用本文： | 李冠雄,刘景林.复励式无刷直流电机故障诊断研究[J].测控技术,2011,30(9):103-107. |
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| 作者姓名： | 李冠雄 刘景林 |
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| 作者单位： | 西北工业大学,陕西西安,710072 |
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| 摘 要： | 针对复励式无刷直流电机弱磁控制的故障信号特点,选择小波神经网络作为电机故障诊断方法.根据电机的故障树,确定了电流作为其故障诊断信号.以最常见的绕组短路和开路作为研究对象,通过对不同小波基函数的对比分析,选择coif5作为小波基函数.利用Mallat算法对典型电机故障信号进行了检测,采用第2层分解时的高频系数d2作为特征...
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| 关 键 词： | 复励式无刷直流电机 小波分析 神经网络 故障诊断 |
Fault Diagnosis Research for Hybrid Excitation BLDCM |
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| LI Guan-xiong,LIU Jing-lin.Fault Diagnosis Research for Hybrid Excitation BLDCM[J].Measurement & Control Technology,2011,30(9):103-107. |
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| Authors: | LI Guan-xiong LIU Jing-lin |
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| Affiliation: | LI Guan-xiong,LIU Jing-lin(Northwestern Polytechnical University,Xi'an 710072,China) |
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| Abstract: | A fault diagnosis model was established based on wavelet neural network,according to the fault signal characteristics of hybrid excitation brushless DC motor with flux-weakening operation.Current was determined as the fault diagnosis signal due to fault tree.Winding open and short circuit was studied.Coif5 was selected as the wavelet basis function after comparison among different wavelet base functions.The typical motor fault signal was detected through Mallat algorithm.High frequency coefficients d2,which... |
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| Keywords: | Hybrid excitation brushless DC motor wavelet analysis neural network fault diagnosis |
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