| 基于LVQ神经网络的异步电动机故障诊断 |
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| 引用本文： | 赵培,谷立臣. 基于LVQ神经网络的异步电动机故障诊断[J]. 机械制造与自动化, 2010, 39(1): 172-174 |
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| 作者姓名： | 赵培 谷立臣 |
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| 作者单位： | 西安建筑科技大学,机电工程学院,陕西,西安,710055 |
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| 摘 要： | 应用小波包分析法和学习矢量量化网络对异步电动机的故障进行诊断。采用小波包分析法对采集的异步电机振动信号进行小波包分解,选取特殊频段的能量特征值作为LVQ神经网络的输入样本,通过训练,使构造的学习矢量量化网络能够反应能量特征值和故障类型的映射关系,从而达到故障诊断的目的。仿真结果表明,与常规方法相比,小波包分析法与LVQ网络结合构成的故障诊断分类器能更准确、更有效地实现异步电动机故障诊断。
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| 关 键 词： | 异步电动机 故障诊断 LVQ神经网络 |
Diagnosis of Vibration Fault for Asynchronous Motors Based on LVQ Neural Networks |
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| ZHAO Pei,GU Li-chen. Diagnosis of Vibration Fault for Asynchronous Motors Based on LVQ Neural Networks[J]. Machine Building & Automation, 2010, 39(1): 172-174 |
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| Authors: | ZHAO Pei GU Li-chen |
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| Affiliation: | ZHAO Pei,GU Li-chen(Mechanical , Electronical Technology Research Institute,Xi'an Architecture & Technology University,Xi'an 710055,China) |
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| Abstract: | This paper uses a wavelet packet to diagnose the motor faults and selects the six band energy values as swatches of LVQ neural networks.The simulation results show that as compared with the conventional method,the induction motor fault diagnosis can be carried out more accurately and effectively by the fault diagnosis classifier which is constituted by the wavelet packet analytical method and LVQ networks. |
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| Keywords: | asynchronous motor fault diagnosis LVQ neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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