| 基于贝叶斯网络的发动机燃油系统故障诊断 |
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| 引用本文： | 曹华金,任治军,谢海元,邹学倩.基于贝叶斯网络的发动机燃油系统故障诊断[J].长沙航空职业技术学院学报,2010,10(4):24-27,36. |
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| 作者姓名： | 曹华金 任治军 谢海元 邹学倩 |
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| 作者单位： | 空军95275部队,广西,柳州,545005;柳州市第十六中学,广西,柳州,545000 |
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| 摘 要： | 在构建某型发动机燃油系统故障诊断贝叶斯网络模型的基础上,提出逆向推理的最强依赖路径算法,通过该算法可以对故障可能的原因按概率大小进行排序,进而快速、准确地对故障进行定位,从而大大提高复杂系统故障诊断的效率。
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| 关 键 词： | 贝叶斯网络 最强依赖路径算法 故障诊断 |
Fault Diagnosis for Fuel System of Electronic Engine Based on Bayesian Network |
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| CAO Huajin,REN Zhijun,XIE Haiyuan,ZOU Xueqian.Fault Diagnosis for Fuel System of Electronic Engine Based on Bayesian Network[J].JOurnal of Changsha Aeronautical Vocational and Technical College,2010,10(4):24-27,36. |
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| Authors: | CAO Huajin REN Zhijun XIE Haiyuan ZOU Xueqian |
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| Institution: | CAO Huajin1,REN Zhijun1,XIE Haiyuan1,ZOU Xueqian2(1.Air Force Unit 95275,Liuzhou Guangxi 545005,2.NO.16 Middle School of Liuzhou,Liuzhou Guangxi 545000) |
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| Abstract: | In this paper Bayesian Network model for fuel system of certain electronic engine has been set up,and the strongest dependency route algorithm has been put forward for backward inference.Then all the possible causes for the fault can be arranged according to their probabilities by using this algorithm,and the orientation of the cause can be confirmed quickly and exactly,so the efficiency of fault diagnosis for complicated system can be enhanced greatly. |
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| Keywords: | bayesian network strongest dependency route algorithm fault diagnosis |
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