| 基于神经网络的航空发动机轴承腔气液两相流流型辨识方法研究 |
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| 引用本文： | 张凤娟,陈国定,吴昊天.基于神经网络的航空发动机轴承腔气液两相流流型辨识方法研究[J].润滑与密封,2005(2):44-46. |
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| 作者姓名： | 张凤娟 陈国定 吴昊天 |
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| 作者单位： | 西北工业大学机电学院,陕西西安,710072 |
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| 摘 要： | 基于航空发动机轴承腔润滑中所存在的气液两相流问题，采用基于神经网络的理论方法建立预测模型，以便进行轴承腔内气液两相流流型的识别。研究以管道气液两相流为原型，采用3种典型的神经网络对流型进行模式识别，通过考察3种网络的辨识率，发现BP网络的识别方法具有较高的准确性。
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| 关 键 词： | 神经网络 流型辨识 模式识别 BP网络 方法研究 气液两相流 原型 发现 理论方法 预测模型 |
| 文章编号： | 0254-0150(2005)2-044-3 |
| 修稿时间： | 2004年2月12日 |
Study of the Identification Methods of Gas-liquid Two-phase Flow Regime in Aero-engine Bearing Chamber Based on Neural Network |
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| Zhang Fengjuan,Chen Guoding,Wu Haotian.Study of the Identification Methods of Gas-liquid Two-phase Flow Regime in Aero-engine Bearing Chamber Based on Neural Network[J].Lubrication Engineering,2005(2):44-46. |
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| Authors: | Zhang Fengjuan Chen Guoding Wu Haotian |
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| Abstract: | Based on the problem of the gas-liquid two-phase flow in aero-engine bearing chamber lubrication,the model was bulit on the basis of theoretical method of using neural network,from which the gas-liquid two-phase flow regime can be identified in bearing chamber.The gas-liquid two-phase flow in pipes was adopted as the prototype of study,three types of neural network were used to identify the flow regime,and the recognition possibility of three types of network was compared.The results show that BP network is more precisely to identify the flow regime. |
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| Keywords: | bearing chamber two-phase flow flow regime neural network recognition |
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