| 引用本文: | 唐雅娟,张为华.发动机传感器数据证实的贝叶斯信度网络方法.[J].国防科技大学学报,2007,29(6):112-115.[点击复制] |
| TANG Yajuan,ZHANG Weihua.Study on Bayesian Belief Network Method for Engine Tests Sensor Data Validation[J].Journal of National University of Defense Technology,2007,29(6):112-115[点击复制] |
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| 发动机传感器数据证实的贝叶斯信度网络方法 |
| 唐雅娟, 张为华 |
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(国防科技大学 航天与材料工程学院，湖南 长沙 410073)
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| 摘要: |
| 针对发动机及其部件试验传感器数据证实的多源证据融合问题，描述了建立贝叶斯信度网络的方法，给出了传感器状态和检验关系式不确定性信息表达方法，发展了自动建立贝叶斯信度网络、计算可信度概率及更新网络的算法；给出了贝叶斯信度网络方法在模型发动机上的应用示例。 |
| 关键词: 传感器数据证实 信息融合 贝叶斯信度网络 统计推断 |
| DOI： |
| 投稿日期：2007-04-29 |
| 基金项目:中国燃气涡轮研究院先进试验技术研究资助项目(2003011) |
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| Study on Bayesian Belief Network Method for Engine Tests Sensor Data Validation |
| TANG Yajuan, ZHANG Weihua |
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(College of Aerospace and Materials Engineering, National Univ. of Defense Technology, Changsha 410073, China)
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| Abstract: |
| A method for fusing evidence information using Bayesian belief network is introduced for sensor data validation. Uncertainty expression and inference mechanism of sensor states and relations in engine and its components test are defined. The algorithms for automatic generation of the Bayesian belief network files, belief probability calculation and network update are developed. The methodology is demonstrated and validated in a model rocket engine. |
| Keywords: sensor data validation information fusion Bayesian belief networks statistical inference |
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