| 航空发动机内窥故障诊断专家系统研究 |
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| 引用本文： | 罗云林,牟君鹏.航空发动机内窥故障诊断专家系统研究[J].中国民航学院学报,2009,27(6):13-16. |
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| 作者姓名： | 罗云林 牟君鹏 |
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| 作者单位： | 中国民航大学航空自动化学院,天津300300 |
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| 基金项目： | 中国民用航空局教育基金项目 |
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| 摘 要： | 采用BP神经网络准确识别内窥故障信息,并且建立综合基于规则推理和基于案例推理的混合专家系统,对内窥故障进行智能诊断。实验结果证明,该专家系统能快速有效地给出损伤评估和维修策略。
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| 关 键 词： | 专家系统 基于规则推理 基于案例推理 BP神经网络 |
Study on Expert System for Aero-Engine Endoscopic Fault Diagnosis |
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| LUO Yun-lin,MOU Jun-peng.Study on Expert System for Aero-Engine Endoscopic Fault Diagnosis[J].Journal of Civil Aviation University of China,2009,27(6):13-16. |
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| Authors: | LUO Yun-lin MOU Jun-peng |
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| Institution: | (Aeronautical Automation College, CA UC, Tianjin 300300,China ) |
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| Abstract: | Using BP neural network to exactly identify endoscopic faults,and building mixed expert system with rulebased-reasoning and case-based-reasoning to diagnosis faults intelligently.The results of experiment show that the expert system can provide damage assessment and maintenance decision rapidly and effectively. |
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| Keywords: | expert system rule-based-reasoning case-based-reasoning BP neural network |
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