| 基于BP神经网络和案例推理的装备故障诊断研究 |
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| 引用本文： | 汪伦根,杨志强.基于BP神经网络和案例推理的装备故障诊断研究[J].舰船电子工程,2012,32(6):118-120. |
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| 作者姓名： | 汪伦根 杨志强 |
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| 作者单位： | 解放军陆军军官学院,合肥,230031 |
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| 摘 要： | 分析了BP神经网络和基于案例推理（CBR）在故障诊断领域应用中的优点、局限性和互补性，设计了二者相结合的装备故障诊断模型，通过某型装备的故障诊断实例，验证了该算法的有效性。
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| 关 键 词： | 装备故障诊断 BP神经网络 基于案例推理 故障诊断模型 |
Study on Fault Diagnosis of Equipment Based on BP Neural Network and CBR |
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| WANG Lungen,YANG Zhiqiang.Study on Fault Diagnosis of Equipment Based on BP Neural Network and CBR[J].Ship Electronic Engineering,2012,32(6):118-120. |
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| Authors: | WANG Lungen YANG Zhiqiang |
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| Institution: | (Army Officer Academy of PLA,Hefei 230031) |
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| Abstract: | The characteristics and complementarities of BP neural network and case-based reasoning(CBR) are analyzed in this paper.According to that,a fault diagnosis model for equipment is designed based on the combination of BP neural network and CBR.The validity of the scheme has been attested through a fault instance of equipment. |
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| Keywords: | {ault diagnosis of equipment BP neural network CBR (case-based reasoning) fault diagnosis model |
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