| 一种新型粗糙集神经网络的故障诊断方法 |
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| 引用本文： | 冯惊雷,张喜斌,张恒喜.一种新型粗糙集神经网络的故障诊断方法[J].火力与指挥控制,2007,32(1):84-87. |
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| 作者姓名： | 冯惊雷 张喜斌 张恒喜 |
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| 作者单位： | 空军工程大学,陕西,西安,710038 |
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| 摘 要： | 结合粗糙集理论,建立了基于SOFM网络的新型粗糙集神经网络故障诊断模型,给出了该模型的流程图,描述了系统各组成部分的工作原理.应用该模型对某型雷达进行故障诊断,实例证明新模型能够减少输入端数量,简化神经网络的结构,提高系统的速度,诊断时间短,准确性高,结果易于实现可视化,最后得到了故障可视拓扑映射图.
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| 关 键 词： | 雷达 粗糙集 神经网络 故障诊断 SOFM网络 粗糙集神经网络 故障诊断 诊断方法 Networks Rough based Method Fault Diagnosis 拓扑映射图 可视化 结果 时间 速度 结构 简化 输入端 雷达 应用 工作原理 组成 |
| 文章编号： | 1002-0640(2007)01-0084-04 |
| 修稿时间： | 2004年12月30 |
Research into Fault Diagnosis Method based on New Rough Set-Neural Networks |
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| FENG Jing-lei,ZHANG Xi-bin,ZHANG Heng-xi.Research into Fault Diagnosis Method based on New Rough Set-Neural Networks[J].Fire Control & Command Control,2007,32(1):84-87. |
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| Authors: | FENG Jing-lei ZHANG Xi-bin ZHANG Heng-xi |
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| Abstract: | A new rough set-neural network hybrid model based on self organized feature map(SOFM) network is presented in this paper.Firstly,we design a system flow chart and describe work principles of each part.Secondly,the validity of these models was tested by a type of radar system fault data.The results show that the new model can decrease the number of the network input nerve cells,ameliorate network inner structural,decrease the computation time,and visualize the result.Finally,visualized topology-ordering map was founded. |
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| Keywords: | radar rough sets neural networks fault diagnosis SOFM networks |
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