System and method for predicting component failures in magnetic resonance imaging machine
    3.
    发明授权
    System and method for predicting component failures in magnetic resonance imaging machine 有权
    用于预测磁共振成像机组件故障的系统和方法

    公开(公告)号:US07490473B2

    公开(公告)日:2009-02-17

    申请号:US11094908

    申请日:2005-03-31

    IPC分类号: F25B9/00

    摘要: The method includes obtaining input data representative of a first parameter of a cryogenic medium in a cryogenic cooling system is provided. The method further includes calculating an expected value representative of a second parameter of the cryogenic medium in the cooling system via a predefined physics based model. A second input data representative of the second parameter of the cryogenic medium in the cooling system is estimated. The expected value is compared to the second input data and difference between the expected value and the second input data is correlated to statistical data to estimate a likelihood of cryogenic cooling system event.

    摘要翻译: 该方法包括获得表示低温冷却系统中的低温介质的第一参数的输入数据。 该方法还包括经由预定义的基于物理的模型来计算代表冷却系统中的低温介质的第二参数的期望值。 估计代表冷却系统中的低温介质的第二参数的第二输入数据。 将期望值与第二输入数据进行比较,并且期望值和第二输入数据之间的差异与统计数据相关以估计低温冷却系统事件的可能性。

    Learning method and apparatus for a causal network
    10.
    发明授权
    Learning method and apparatus for a causal network 失效
    因果网络的学习方法和设备

    公开(公告)号:US06681215B2

    公开(公告)日:2004-01-20

    申请号:US09681336

    申请日:2001-03-20

    IPC分类号: G06F1518

    CPC分类号: G06N7/005

    摘要: A system and method for improving a causal network is provided. A new apriori probability is determined for a repair or a configuration factor within the causal network and compared to an old apriori probability. If the new apriori probability differs from the old apriori probability by more than a predetermined amount, the causal network is updated. Further, in another aspect, a causal network result is stored for a causal network, wherein the causal network includes a plurality of root causes with a symptom being associated with each of said root causes. An existing link probability is related to the symptom and root cause. An expert result or an actual data result related to each of the symptoms is stored. A new link probability is computed based on the stored causal network result, and expert result or the actual data result.

    摘要翻译: 提供了一种改善因果网络的系统和方法。 对因果网络中的修复或配置因素确定新的先验概率,并与旧的先验概率进行比较。 如果新的先验概率与旧的先验概率不同超过预定量,则更新因果网络。 此外,在另一方面,为因果网络存储因果网络结果,其中所述因果网络包括具有与每个所述根本原因相关联的症状的多个根本原因。 现有的链接概率与症状和根本原因有关。 存储与每个症状相关的专家结果或实际数据结果。 基于存储的因果网络结果,专家结果或实际数据结果计算新的链路概率。