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    • 1. 发明授权
    • Method for diagnosing complex system faults
    • 诊断复杂系统故障的方法
    • US07246271B2
    • 2007-07-17
    • US10692188
    • 2003-10-23
    • Douglas R. ManleyWilliam H. Bush
    • Douglas R. ManleyWilliam H. Bush
    • G06F11/00
    • G06F11/2257
    • An improved method and system for diagnosing faults of a system under test is provided. One or more candidate diagnoses potentially responsible for observed testing failures are generated. Each candidate diagnosis is then assigned a weight based in part on any of a number of factors not previously considered in the weighting process, thus making the weighting process more accurate. In one case, the weight of a diagnosis may be based on the combined consistent utilization of the candidate diagnosis across all failing system tests. Alternately, or in addition, that weight may be based on the combined utilization of the diagnosis among all passing system tests. Other potential factors may also be used.
    • 提供了一种用于诊断被测系统故障的改进方法和系统。 产生一个或多个可能对观察到的测试失败负责的候选诊断。 然后,每个候选诊断部分地基于加权过程中以前未考虑的多个因素中的任何一个来分配权重,从而使加权过程更准确。 在一种情况下,诊断的重量可以基于所有故障系统测试中候选诊断的综合一致利用。 或者或另外,该重量可以基于所有通过的系统测试中诊断的综合利用。 也可以使用其他潜在因素。
    • 3. 发明授权
    • Automated analysis of a model based diagnostic system
    • 基于模型的诊断系统的自动分析
    • US5922079A
    • 1999-07-13
    • US951287
    • 1997-10-16
    • George L. BoothJohn M. HeumannDouglas R. Manley
    • George L. BoothJohn M. HeumannDouglas R. Manley
    • G01R31/00G01R31/3183G06F11/22G06F11/263G06F17/50G06F11/26
    • G01R31/31835G06F11/263
    • An automated analysis system that identifies detectability problems, diagnosability problems, and possible ways to change rank order of diagnoses in a diagnostic system and makes the problems and possible improvements visible to test programmers to aid in test improvement. Components that have no coverage and components that have inadequate coverage (according to a heuristic criteria) are identified as potential detectability problems. Components that are exercised by identical operations in all tests are identified as diagnosability problems. If an incorrect diagnosis is made, the automated analysis system identifies failing tests that have no coverage of any component in the true failure cause. In addition, if an incorrect diagnosis is made, the automated analysis system identifies ways of changing the rank order of diagnoses, including coverages that can be reduced and identification of operation violations that can be eliminated or deliberately added. If no historical data are available, a "diagnosability index" may be computed by randomly sampling from the set of possible failure syndromes and observing the frequencies with which ties occur among the weights of the top-ranked candidate diagnoses. After historical data becomes available, a diagnosability index may be computed from the frequency with which two candidate diagnoses are assigned identical weights by the model-based diagnostic system over a set of representative failures.
    • 一个自动分析系统,用于识别可检测性问题,可诊断性问题以及改变诊断系统诊断秩序的可能方法,并使测试程序员的问题和可能的改进可见,以帮助测试改进。 没有覆盖范围的组件和覆盖不足的组件(根据启发式标准)被识别为潜在的可检测性问题。 在所有测试中通过相同操作执行的组件被识别为诊断性问题。 如果进行了不正确的诊断,则自动化分析系统会识别在真实故障原因中没有覆盖任何组件的故障测试。 此外,如果做出错误的诊断,自动化分析系统将确定改变诊断等级次序的方法,包括可以减少的覆盖率以及可以消除或故意添加的操作违规的识别。 如果没有历史数据可用,则可以通过从可能的故障综合征组中随机抽样并观察在排名最高的候选诊断的权重之间发生关系的频率来计算“诊断指数”。 在历史数据变得可用之后,可以通过基于模型的诊断系统在一组代表性故障中从两个候选诊断分配相同权重的频率来计算诊断指数。