| 应用神经网络信息融合诊断航空发动机故障 |
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| 引用本文： | 赵世荣,黄向华.应用神经网络信息融合诊断航空发动机故障[J].航空动力学报,2008,23(1):163-168. |
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| 作者姓名： | 赵世荣 黄向华 |
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| 作者单位： | 南京航空航天大学,能源与动力学院,南京,210016 |
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| 摘 要： | 研究了基于神经网络信息融合技术,同时结合模糊集合论对发动机气路部件进行故障诊断的方法,并以某型涡轴发动机为对象进行了仿真分析.研究结果表明该方法的故障诊断过程相对简单,对模型的精度要求不高,能够降低虚警、误报、漏报等情况的发生.
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| 关 键 词： | 航空、航天推进系统 航空发动机 故障诊断 神经网络 信息融合 |
| 文章编号： | 1000-8255(2008)01-0163-06 |
| 收稿时间： | 2006/12/11 0:00:00 |
| 修稿时间： | 2006年12月11 |
Fault diagnosis for aeroengine gas path components based on neural network multisensor data fusion |
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| ZHAO Shi-rong and HUANG Xiang-hua.Fault diagnosis for aeroengine gas path components based on neural network multisensor data fusion[J].Journal of Aerospace Power,2008,23(1):163-168. |
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| Authors: | ZHAO Shi-rong and HUANG Xiang-hua |
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| Affiliation: | College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China |
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| Abstract: | A fault diagnosis method for aeroengine gas path components,which was based on the technology of neural network multisensor data fusion and combined application of fuzzy logical theory,was studied in the paper.And this method was employed in simulation analysis of a given turbo-shaft engine.The whole diagnosis process of this method is simple and high accuracy of modeling is not required.Fault alarm,mistaken report and false positive can be reduced. |
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| Keywords: | aerospace propulsion system aeroengine fault diagnosis neural network data fusion |
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