| 基于学习矢量量化网络的智能BIT故障诊断方法 |
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| 引用本文： | 刘震,林辉,司利云. 基于学习矢量量化网络的智能BIT故障诊断方法[J]. 测控技术, 2005, 24(11): 60-63 |
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| 作者姓名： | 刘震 林辉 司利云 |
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| 作者单位： | 西北工业大学,自动化学院电气工程系,陕西,西安,710072;西北工业大学,自动化学院电气工程系,陕西,西安,710072;西北工业大学,自动化学院电气工程系,陕西,西安,710072 |
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| 摘 要： | 将一种经过修正的基于学习矢量量化算法的竞争网络应用在多电飞机电气系统智能BIT故障诊断中,该网络在竞争层实现故障模式的自组织聚类,在输出层给出了具体的故障模式,通过与原算法进行比较,修正后的算法达到了很好的故障识别和分类效果.
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| 关 键 词： | 学习矢量量化 智能BIT 故障诊断 |
| 文章编号： | 1000-8829（2005）11-0060-04 |
| 收稿时间： | 2005-04-18 |
| 修稿时间： | 2005-04-18 |
Method of Fault Diagnosis of Intelligent BIT Based on LVQ Neural Network |
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| LIU Zhen,LIN Hui,SI Li-yun. Method of Fault Diagnosis of Intelligent BIT Based on LVQ Neural Network[J]. Measurement & Control Technology, 2005, 24(11): 60-63 |
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| Authors: | LIU Zhen LIN Hui SI Li-yun |
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| Abstract: | A self-organizing neural network based on the modified learning vector quantization( LVQ) which is applied in the fault diagnosis of intelligent BIT of more-electric aircraft( MEA) is studied. This neural network completes the self-organizing clustering of the faults in the competitive layer and outputs the diagnostic results in the output layer. The results show that the modified algorithm is more effective than the standard algorithm. |
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| Keywords: | learning vector quantization( LVQ) intelligent BIT fault diagnosis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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