基于动态贝叶斯网络的TBM卡机风险预测
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颉芳弟,翟强,顾伟红
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Risk prediction of TBM jamming based on dynamic Bayesian network
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Fang-di XIE,Qiang ZHAI,Wei-hong GU
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| 表 7 风险事件M3的条件概率（部分） |
| Tab.7 Conditional probability of risk events M3 (part) |
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| A5 | A8 | C1 | M6 | $P$ | | 状态1 | 状态2 | 状态3 | 状态4 | | 1 | 1 | 1 | 1 | 0 | 0 | 0.138 | 0.872 | | 1 | 1 | 1 | 2 | 0 | 0 | 0.336 | 0.674 | | 1 | 1 | 1 | 3 | 0.104 | 0.221 | 0.223 | 0.452 | | 1 | 1 | 1 | 4 | 0.110 | 0.142 | 0.325 | 0.423 | | 1 | 1 | 2 | 2 | 0 | 0.271 | 0.274 | 0.455 | | $ \vdots $ | $ \vdots $ | $ \vdots $ | $ \vdots $ | $ \vdots $ | $ \vdots $ | $ \vdots $ | $ \vdots $ | | 5 | 4 | 3 | 2 | 0 | 0.372 | 0.542 | 0.086 | | 5 | 4 | 3 | 3 | 0.212 | 0.245 | 0.342 | 0.201 | | 5 | 4 | 3 | 4 | 0.844 | 0.131 | 0.025 | 0 |
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