贝叶斯网络在动量轮地面试验可靠性分析中的应用
Bayesian networks application to reliability analysis of momentum wheel's ground test
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摘要: 为了有效综合动量轮地面试验过程中积累的大量复杂试验信息,对动量轮进行可靠性定量分析.提出了利用贝叶斯网络模型,融合大量测试和调试数据、专家知识等多种信息,建立动量轮可靠性模型的方法;采用贝叶斯网络推理技术,对动量轮进行可靠性评估、故障诊断和灵敏度分析,有效解决了动量轮地面试验可靠性分析与评估等难题,为动量轮可靠性试验提供了理论指导.Abstract: A lot of intricate information in momentum wheel's ground test has been accumulated.However,an effective method for reliability analysis by fusing such information can hardly be found.The paper firstly proposed a method to build the reliability model of momentum wheel by fusing various test information and expert knowledge using Bayesian network.Then,the reliability assessment,fault diagnosis and sensitivity analysis towards momentum wheel's ground test were carried out using the inference of Bayesian network.The proposed method could solve the problem of reliability analysis and assessment of momentum wheel's ground test,providing a theoretic guidance for reliability test of momentum wheel.
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Key words:
- reliability assessment /
- fault diagnosis /
- sensitivity analysis /
- Bayesian network /
- momentum wheel
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