| 基于BAM神经网络的可控整流电路故障诊断 |
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| 引用本文： | 刘庆雪,公茂法,刘宁.基于BAM神经网络的可控整流电路故障诊断[J].煤矿机械,2007,28(10):189-191. |
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| 作者姓名： | 刘庆雪 公茂法 刘宁 |
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| 作者单位： | 山东科技大学,山东,青岛,266510 |
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| 摘 要： | 针对三相可控整流电路的40种故障状态,在对整流输出电压波形特征提取、逻辑处理的基础上,建立了基于BAM神经网络的整流电路故障分类器,对于BAM网络在电力电子电路故障诊断中的应用做了初步的探讨,并且通过仿真验证了故障分类器设计的正确性。
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| 关 键 词： | 整流电路 故障诊断 模式矢量 BAM神经网络 |
| 文章编号： | 1003-0794（2007）10-0189-03 |
| 修稿时间： | 2007-07-05 |
Fault Diagnosis of Controlled Rectifier Based on BAM Neural Network |
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| LIU Qing-xue,GONG Mao-fa,LIU Ning.Fault Diagnosis of Controlled Rectifier Based on BAM Neural Network[J].Coal Mine Machinery,2007,28(10):189-191. |
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| Authors: | LIU Qing-xue GONG Mao-fa LIU Ning |
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| Affiliation: | Shandong University of Science and Technology, Qingdao 266510, China |
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| Abstract: | Considering the 40 kinds of faults of 3- pulse wavefoma controlled rectifier device, on the basis of deal of rectifier voltage waveforms and logic processing, fault classifier of rectifier device based on the BAM neural network is proposed, The application of BAM network to power electronic circuits is studied basically, and the simulation results show the effective of this kind classifier. |
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| Keywords: | rectifier device fault diagnosis pattern vector BAM neural network |
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