| 两种多故障诊断算法的性能比较研究 |
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| 引用本文： | 刘磊,龙兵,刘震.两种多故障诊断算法的性能比较研究[J].电子测量与仪器学报,2011,25(1):75-80. |
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| 作者姓名： | 刘磊 龙兵 刘震 |
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| 作者单位： | 电子科技大学自动化工程学院; |
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| 摘 要： | 多信号模型结合了结构模型与功能依赖模型的优点,非常适合于描述复杂系统故障传播关系.基于多信号模型故障推理算法非常重要,其中多故障诊断算法又是其中的难点.通过对基于多信号模型多故障诊断的拉格朗日松弛算法和主启发式算法及其在阿波罗飞船发射前系统状态诊断的应用中的深入对比研究,仿真结果表明拉格朗日松弛算法和主启发式算法均能有...
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| 关 键 词： | 多信号模型 多故障诊断 拉格朗日松弛 主启发式 贝叶斯后验概率 |
Research on performance comparison of two MFD algorithms |
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| Liu Lei,Long Bing,Liu Zhen.Research on performance comparison of two MFD algorithms[J].Journal of Electronic Measurement and Instrument,2011,25(1):75-80. |
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| Authors: | Liu Lei Long Bing Liu Zhen |
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| Affiliation: | Liu Lei Long Bing Liu Zhen (School of Automation Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China) |
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| Abstract: | Multi-signal model,which combines the advantages of structure model and function dependency model,is very suitable for describing the complex relationship between fault propagation.The fault diagnosis algorithm based on multi-signal model is very important,especially the multiple fault diagnosis algorithm.Through the thorough comparative study between Lagrange relaxation algorithm and Primal heuristic algorithm which are both based on multi-signal model,as well as their application in the diagnosis of Apoll... |
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| Keywords: | Multi-signal Model MFD Lagrange relaxation Primal heuristic algorithm Bayes probability |
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