故障树是什么意思_故障树用英语怎么说_故障树的翻译_故障树翻译成_故障树的中文意思_故障树怎么读,故障树的读音,故障树的用法,故障树的例句

Nowadays, computer - aided fault tree synthesis has been given abroad attention.

目前, 计算机自动生成故障树技术的开发已经得到了广泛关注.

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Fault tree is a kind of graph in which the events have reverse logic relationship.

故障树是一种倒置的逻辑关系图,发展历史长,技术成熟,具有标准的知识结构.

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Taken the casing failure as top event, the fault tree was established in the paper.

以套管失效为顶事件建立了石油套管的故障树.

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Fault tree analysis is an effective way to analyze security and reliability a large complex system.

故障树分析法是分析大型复杂系统安全性与可靠性的一种较好的方法.

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Then based on the reliability block diagrams and decision table, we construct the fault tree system.

然后在可靠性框图分析的基础上,依据判定表, 自动生成故障树.

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The reliability analysis of common cause failure - large - scale failure trees using explicit and implicit Methods: Was discussed.

借助于故障树方法分析了主工作缸的失效模式,建立了主工作缸的可靠性框图.

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According to those fault trees, the minimum cut set and qualitative - important degree were calculated and obtained.

利用构建的故障树, 计算并给出了船舶柴油发电机故障树的最小割集和定性重要度.

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The Six Sigma Black Belt will demonstrate the ability to read a fault tree.

6西格玛黑带应能示范其理解故障树分析的能力.

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Further more , we use the Fault Tree Analysis method fault dependence and calculate failure probability.

结合故障树分析方法定性分析系统故障传播和故障依赖关系,定量估算被关注事件的故障概率.

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Fault tree analysis ( FTA ) is one fault diagnosis method that suitable to complex system.

故障树分析法 ( FTA ) 是一种适合于复杂系统的故障诊断方法.

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For a fuze fault - tree data base, the principles for defining probability of basic events are significant.

底事件数据确定原则的制定对于引信故障树底事件数据库的建立有重要的意义.

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The basic principle, qualitative analysis and quantitative analysis of fault tree analysis method are introduced.

介绍了故障树分析法的基本原理 以及 定性分析和定量分析方法.

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Fault Tree Model ( FTA ) of Lurgi ammonia system is established aimed at system low operation rate.

针对鲁奇 合成氨 装置运转率低的现状,建立了鲁奇合成氨系统故障树模型.

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In this paper, a new fuzzy fault tree analysis method based on convolution arithmetic is introduced.

研究基于卷积的扩展修正的模糊故障树分析方法.

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The results show that FTA is an effective approach to plant fault diagnosis.

结果表明,故障树分析法是机械故障诊断的一种有效方法.

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