| 基于双隐层径向基过程神经网络的润滑油金属含量预测 |
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| 引用本文： | 付旭云,丁刚,钟诗胜,边旭.基于双隐层径向基过程神经网络的润滑油金属含量预测[J].润滑与密封,2009,34(2). |
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| 作者姓名： | 付旭云 丁刚 钟诗胜 边旭 |
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| 作者单位： | 哈尔滨工业大学机电工程学院,黑龙江哈尔滨,150001 |
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| 基金项目： | 国家高技术研究发展计划(863计划)，总装备部武器装备预研基金 |
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| 摘 要： | 润滑油金属含量是航空发动机摩擦件健康状态的重要表征,通过对其进行预测可提前发现相应部件的机械故障,避免造成严重的发动机二次损伤.在航空发动机的实际运行期间,润滑油金属含量受许多复杂因素影响,用传统方法难以有效预测其变化趋势.提出一种基于双隐层径向基过程神经网络的润滑油金属含量预测方法,并开发一种基于软竞争学习算法和BP学习算法的混合学习算法.将该方法用于某型航空发动机润滑油铁金属含量预测,取得了满意的结果.
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| 关 键 词： | 航空发动机 状态监控 金属含量 双隐层径向基过程神经网络 |
Aircraft Engine Lubricating Oil Metal Elements Concentration Prediction Using RBF Process Neural Network with Two Hidden-layers |
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| Fu Xuyun,Ding Gang,Zhong Shisheng,Bian Xu.Aircraft Engine Lubricating Oil Metal Elements Concentration Prediction Using RBF Process Neural Network with Two Hidden-layers[J].Lubrication Engineering,2009,34(2). |
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| Authors: | Fu Xuyun Ding Gang Zhong Shisheng Bian Xu |
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| Affiliation: | School of Mechatronics Engineering;Harbin Institute of Technology;Harbin Heilongjiang 150001;China |
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| Abstract: | The concentration of metal elements in the aircraft engine lubricating oil is an important reflection of health condition of the aircraft engine friction components.By predicting the metal elements concentration,mechanical faults in the aircraft engine can be deduced in advance,thus the severe secondary damage can be avoided.However,the metal elements concentration is influenced by many complicated factors during the practical operation of the aircraft engine.It is difficult for the traditional methods to p... |
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| Keywords: | aircraft engine condition monitoring metal concentration RBF process neural network with two hidden-layers |
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