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    • 3. 发明授权
    • Component adaptive life management
    • 组件适应性生活管理
    • US08494810B2
    • 2013-07-23
    • US12795538
    • 2010-06-07
    • Neil J. GoldfineYanko K. SheiretovAndrew P. WashabaughVladimir A. ZilbersteinDavid C. GrundyRobert J. LyonsDavid A. JablonskiFloyd W. Spencer
    • Neil J. GoldfineYanko K. SheiretovAndrew P. WashabaughVladimir A. ZilbersteinDavid C. GrundyRobert J. LyonsDavid A. JablonskiFloyd W. Spencer
    • G06F19/00
    • G07C3/00G01N2203/0212
    • A framework for adaptively managing the life of components. A sensor provides non-destructive test data obtained from inspecting a component. The inspection data may be filtered using reference signatures and by subtracting a baseline. The filtered inspection data and other inspection data for the component is analyzed to locate flaws and estimate the current condition of the component. The current condition may then be used to predict the component's condition at a future time or to predict a future time at which the component's condition will have deteriorated to a certain level. A current condition may be input to a precomputed database to look up the future condition or time. The future condition or time is described by a probability distribution which may be used to assess the risk of component failure. The assessed risk may be used to determine whether the part should continue in service, be replaced or repaired. A hyperlattice database is used with a rapid searching method to estimate at least one material condition and one usage parameter, such as stress level for the component. The hyperlattice is also used to rapidly predict future condition, associated uncertainty and risk of failure.
    • 自适应地管理组件的寿命的框架。 传感器提供从检查组件获得的非破坏性测试数据。 可以使用参考签名和减去基线来过滤检查数据。 分析滤波后的检查数据和其他部件检查数据,以定位缺陷并估计组件的当前状态。 然后可以使用当前条件来预测未来时间的组件状况,或者预测组件的状况将恶化到一定水平的未来时间。 当前条件可以被输入到预先计算的数据库以查找未来的状况或时间。 将来的状况或时间由概率分布描述,可用于评估组件故障的风险。 评估的风险可用于确定部件是否应该继续使用,更换或修理。 使用超晶格数据库与快速搜索方法来估计至少一种材料状况和一种使用参数,例如组件的应力水平。 超晶格也用于快速预测未来状况,相关不确定性和故障风险。
    • 4. 发明申请
    • Component Adaptive Life Management
    • 组件适应性生命管理
    • US20110060568A1
    • 2011-03-10
    • US12795538
    • 2010-06-07
    • Neil J. GoldfineYanko K. SheiretovAndrew P. WashabaughVladimir A. ZilbersteinDavid C. GrundyRobert J. LyonsDavid A. JablonskiFloyd W. Spencer
    • Neil J. GoldfineYanko K. SheiretovAndrew P. WashabaughVladimir A. ZilbersteinDavid C. GrundyRobert J. LyonsDavid A. JablonskiFloyd W. Spencer
    • G06G7/48G06F19/00G06F17/18
    • G07C3/00G01N2203/0212
    • A framework for adaptively managing the life of components. A sensor provides non-destructive test data obtained from inspecting a component. The inspection data may be filtered using reference signatures and by subtracting a baseline. The filtered inspection data and other inspection data for the component is analyzed to locate flaws and estimate the current condition of the component. The current condition may then be used to predict the component's condition at a future time or to predict a future time at which the component's condition will have deteriorated to a certain level. A current condition may be input to a precomputed database to look up the future condition or time. The future condition or time is described by a probability distribution which may be used to assess the risk of component failure. The assessed risk may be used to determine whether the part should continue in service, be replaced or repaired. A hyperlattice database is used with a rapid searching method to estimate at least one material condition and one usage parameter, such as stress level for the component. The hyperlattice is also used to rapidly predict future condition, associated uncertainty and risk of failure.
    • 自适应地管理组件的寿命的框架。 传感器提供从检查组件获得的非破坏性测试数据。 可以使用参考签名和减去基线来过滤检查数据。 分析滤波后的检查数据和其他部件检查数据,以定位缺陷并估计组件的当前状态。 然后可以使用当前条件来预测未来时间的组件状况,或者预测组件的状况将恶化到一定水平的未来时间。 当前条件可以被输入到预先计算的数据库以查找未来的状况或时间。 将来的状况或时间由概率分布描述,可用于评估组件故障的风险。 评估的风险可用于确定部件是否应该继续使用,更换或修理。 使用超晶格数据库与快速搜索方法来估计至少一种材料状况和一种使用参数,例如组件的应力水平。 超晶格也用于快速预测未来状况,相关不确定性和故障风险。