基于RS-ANN的汽车发动机故障诊断分析 |
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引用本文: | 田丽,高来鑫,王静,王蒙,邓阅.基于RS-ANN的汽车发动机故障诊断分析[J].安徽工程科技学院学报,2011,26(3). |
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作者姓名: | 田丽 高来鑫 王静 王蒙 邓阅 |
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作者单位: | 安徽工程大学电气工程学院,安徽芜湖,241000 |
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摘 要: | 利用粗糙集理论对知识的约简能力及神经网络的分类能力,构建粗糙集-神经网络(RS-ANN)故障诊断组合模型;并将该模型应用于汽车发动机故障数据进行实例验证,该模型诊断速度快,故障诊断正确率高.
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关 键 词: | 粗糙集(RS) 人工神经网络 故障诊断 粗糙集-神经网络(RS-ANN) |
Fault diagnosis for gasoline engine based on RS-ANN |
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Abstract: | Considering the simplification ability of rough set theory and the classification ability of artificial neural network,a rough set-neural network combinatorial fault-diagnosing model is constructed.The practical application to fault diagnosis for gasoline engine verifies that the model has comparably fast and accurate diagnosing abilities. |
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Keywords: | rough set artificial neural network fault diagnosis rough set-neural network |
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