| 基于贝叶斯网络的余热排出泵故障诊断 |
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| 引用本文： | 梁洁,蔡琦,初珠立,李世停,王海萍. 基于贝叶斯网络的余热排出泵故障诊断[J]. 原子能科学技术, 2012, 46(Z1): 335-340. DOI: 10.7538/yzk.2012.46.suppl.0335 |
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| 作者姓名： | 梁洁 蔡琦 初珠立 李世停 王海萍 |
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| 作者单位： | 1.海军工程大学 船舶与动力学院，湖北 武汉430033；2.91206部队，山东 青岛266000 |
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| 摘 要： | 基于余热排出泵的故障树建立了贝叶斯故障诊断网络。在FT/BN基本转换的基础上，分析了多态逻辑表达的方法和不确定性问题的条件概率表的确定，运用专家分段投票的方法建立了BN网络根节点概率。所建网络可通过节点重要度、灵敏度分析和双向诊断等功能为设备设计使用和维修决策提供参考。
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| 关 键 词： | 余热排出泵 故障诊断 贝叶斯网络 多态逻辑 不确定性 |
Fault Diagnosis of Heat Removal Pump Based on Bayesian Networks |
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| LIANG Jie , CAI Qi , CHU Zhu-li , LI Shi-ting , WANG Hai-ping. Fault Diagnosis of Heat Removal Pump Based on Bayesian Networks[J]. Atomic Energy Science and Technology, 2012, 46(Z1): 335-340. DOI: 10.7538/yzk.2012.46.suppl.0335 |
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| Authors: | LIANG Jie CAI Qi CHU Zhu-li LI Shi-ting WANG Hai-ping |
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| Affiliation: | 1.Naval Architecture and Power Engineering College, Naval University of Engineering, Wuhan 430033, China; 2.Army 91206, Qingdao 266000, China |
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| Abstract: | The Bayesian fault diagnosis networks of heat removal pump were built based on its fault tree. As the basic conversion method of FT/BN was shown, the expression of multi-formed logic and condition probability table of non-determinism was analyzed. The root nodes’ probability was gain by the subsection voting with specialists. The node significance, sensitivity analysis and bidirectional diagnoses provide decision for equipments in designing, using and maintaining. |
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| Keywords: | heat removal pump fault diagnosis Bayesian networks multi-formed logic non-determinism |
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