| BP神经网络在三相桥式全控整流电路故障诊断中的应用 |
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| 引用本文： | 朱延枫,王巍,佟绍成.BP神经网络在三相桥式全控整流电路故障诊断中的应用[J].江苏电器,2010(3). |
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| 作者姓名： | 朱延枫 王巍 佟绍成 |
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| 作者单位： | 辽宁工业大学电气工程学院; |
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| 基金项目： | 国家自然科学基金资助项目(60674056) |
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| 摘 要： | 针对电力电子技术中三相桥式全控整流电路中晶闸管的故障问题提出了基于BP神经网络故障诊断的方法。借助Matlab仿真软件建立了三相桥式全控整流电路的仿真模型。通过仿真试验提取出用于BP神经网络训练的学习样本,并确定出用于不同类故障的三层的BP神经网络结构。仿真结果表明了该方法的有效性。
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| 关 键 词： | BP神经网络 整流电路 故障诊断 Matlab仿真 |
Application of Back Propagation Neural Network in Fault Diagnosis of Three-Phase Full-Bridge Controlled Rectifier |
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| Authors: | ZHU Yan-feng WANG-Wei TONG Shao-cheng |
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| Affiliation: | College of Electrical Engineering/a>;Liaoning University of Technology/a>;Jinzhou 121001/a>;China |
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| Abstract: | This paper proposed a fault diagnosis method based on back propagation (BP) neural network for thyristors fault ofthree-phase full-bridge controlled rectifier in the power electronic technology. A simulation model of three-phase full-bridge con-trolled rectifier was setup with Matlab software. The learning samples for training BP neural network was obtained by simulating the different fault types of thyristors in the rectifier,and the three-layer BP neural networks for different fault types were constructed... |
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| Keywords: | back propagation neural network rectif ier fault diagnosis Matlab simulation |
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