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Managing and predicting component failure based on pattern recognition of subcomponent exposure to failure

机译:基于子组件发生故障的模式识别来管理和预测组件故障

摘要

Methods, systems, and articles of manufacture consistent with the present invention provide for predicting system failure based on pattern recognition of subcomponent exposure to failure. A dataset is generated that has at least one exposure level to failure of a computer-based system and a corresponding rule identifier of a rule used to calculate the exposure level. The rule asynchronously receives information about the computer-based system and calculates the exposure level based on the received information. The generated dataset is compared to a previously generated dataset by comparing the at least one exposure level of the dataset to an at least one exposure level with the same rule identifier in the previously generated dataset, where the previously generated dataset is associated with a known problem with the computer-based system. A probability of a problem with the computer-based system is calculated based on a number of exposure levels in the generated dataset matching exposures levels in the previously generated dataset.
机译:与本发明一致的方法,系统和制品提供了基于子组件暴露于故障的模式识别来预测系统故障。产生具有至少一个基于计算机的系统的故障的暴露水平和用于计算暴露水平的规则的对应规则标识符的数据集。该规则异步接收有关基于计算机的系统的信息,并根据接收到的信息计算曝光水平。通过将数据集的至少一个暴露级别与至少一个暴露级别与先前生成的数据集中具有相同规则标识符的暴露级别进行比较,将生成的数据集与先前生成的数据集进行比较,其中先前生成的数据集与已知问题相关联基于计算机的系统。基于计算机的系统出现问题的可能性是根据与先前生成的数据集中的暴露程度匹配的所生成的数据集中的暴露程度的数量来计算的。

著录项

  • 公开/公告号US2004230597A1

    专利类型

  • 公开/公告日2004-11-18

    原文格式PDF

  • 申请/专利权人 WOOKEY MICHAEL J.;

    申请/专利号US20030691278

  • 发明设计人 MICHAEL J. WOOKEY;

    申请日2003-10-22

  • 分类号G06F7/00;

  • 国家 US

  • 入库时间 2022-08-21 22:25:09

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