引用本文: | 柳新民,邱静,刘冠军.BIT系统的三态马尔可夫模型分析[J].国防科技大学学报,2004,26(1):84-88.[点击复制] |
LIU Xinmin,QIU Jing,LIU Guanjun.Analysis of the 3-state Markov Model in BIT[J].Journal of National University of Defense Technology,2004,26(1):84-88[点击复制] |
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BIT系统的三态马尔可夫模型分析 |
柳新民, 邱静, 刘冠军 |
(国防科技大学 机电工程与自动化学院,湖南 长沙 410073)
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摘要: |
BIT技术是改善系统测试性和诊断能力的重要途径,但是较高的虚警率一直是阻碍BIT广泛应用的一个重要原因。研究过程中将系统状态划分为正常、间歇、故障三种状态,建立了马尔可夫模型,分析、对比了三态模型与两态模型的关系。理论分析结果表明:基于三态模型的BIT,在提高故障检测率的同时,还可以较大程度地降低虚警率。 |
关键词: BIT 三态马尔可夫模型 间歇故障 虚警率 故障检测率 |
DOI: |
投稿日期:2003-06-27 |
基金项目:国家部委资助项目(41319040202) |
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Analysis of the 3-state Markov Model in BIT |
LIU Xinmin, QIU Jing, LIU Guanjun |
(College of Mechatronics Engineering and Automation, National Univ. of Defense Technology, Changsha 410073,China)
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Abstract: |
The BIT technique is an important approach to improve the testability and diagnostic capability of the system. But the high false alarm rate(FAR) is one of the important factors that prevent BIT from wider application. The states of a system are divided into 3 states that include OK state, intermittent state and faulty state. The Markov model is set up, the relation between 3-state model and 2-state model is compared. Theoretical analysis shows that BIT of 3-state model is better than that of 2-state model in reducing FAR as well as increasing false diagnosis rate(FDR). |
Keywords: BIT 3-state Markov model intermittent fault FAR FDR |
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