System Fault Diagnosis via Efficient Temporal and Dynamic Historical Fingerprint Retrieval

    公开(公告)号:US20170308427A1

    公开(公告)日:2017-10-26

    申请号:US15490499

    申请日:2017-04-18

    CPC classification number: G06F11/0793 G06F11/0709 G06F11/079 H04L41/064

    Abstract: Methods are provided for both single modal and multimodal fault diagnosis. In a method, a fault fingerprint is constructed based on a fault event using an invariant model. A similarity matrix between the fault fingerprint and one or more historical representative fingerprints are derived using dynamic time warping and at least one convolution. A feature vector in a feature subspace for the fault fingerprint is generated. The feature vector includes at least one status of at least one system component during the fault event. A corrective action correlated to the fault fingerprint is determined. The corrective action is initiated on a hardware device to mitigate expected harm to at least one item selected from the group consisting of the hardware device, another hardware device related to the hardware device, and a person related to the hardware device.

    OUTPUT EFFICIENCY OPTIMIZATION IN PRODUCTION SYSTEMS
    19.
    发明申请
    OUTPUT EFFICIENCY OPTIMIZATION IN PRODUCTION SYSTEMS 审中-公开
    生产系统的输出效率优化

    公开(公告)号:US20170016354A1

    公开(公告)日:2017-01-19

    申请号:US15211191

    申请日:2016-07-15

    CPC classification number: F01K13/02 F01K13/003 G05B13/048

    Abstract: Systems and methods are provided for optimizing system output in production systems, comprising. The method includes separating, by a processor, one or more initial input variables into a plurality of output variables, the output variables including environmental variables and system response variables. The method also includes building, using the processor, a nonparametric estimation that determines a relationship between one or more initial control variables and the system response variables, and estimating a global input-output mapping function, using the determined relationship, and a range of the environmental variables. The method further includes generating one or more optimal control variables from the initial control variables by maximizing the input-output mapping function and the range of the environmental variables. The method additionally includes incorporating one or more of the optimal control variables into a production system to increase production output of the production system.

    Abstract translation: 提供了用于优化生产系统中的系统输出的系统和方法,包括。 该方法包括将处理器将一个或多个初始输入变量分离成多个输出变量,输出变量包括环境变量和系统响应变量。 该方法还包括使用处理器构建非参数估计,其确定一个或多个初始控制变量与系统响应变量之间的关系,以及使用所确定的关系估计全局输入 - 输出映射函数,以及范围的 环境变量。 该方法还包括通过最大化输入 - 输出映射函数和环境变量的范围从初始控制变量产生一个或多个最优控制变量。 该方法还包括将一个或多个最佳控制变量并入到生产系统中以增加生产系统的生产输出。

    Dynamic border line tracing for tracking message flows across distributed systems
    20.
    发明授权
    Dynamic border line tracing for tracking message flows across distributed systems 有权
    用于跟踪跨分布式系统的消息流的动态边界线跟踪

    公开(公告)号:US09535814B2

    公开(公告)日:2017-01-03

    申请号:US14665519

    申请日:2015-03-23

    CPC classification number: G06F11/3466

    Abstract: The present invention enables capturing API level calls using a combination of dynamic instrumentation and library overriding. The invention allows event level tracing of API function calls and returns, and is able to generate an execution trace. The instrumentation is lightweight and relies on dynamic library/shared library linking mechanisms in most operating systems. Hence we need no source code modification or binary injection. The tool can be used to capture parameter values, and return values, which can be used to correlate traces across API function calls to generate transaction flow logic.

    Abstract translation: 本发明可以使用动态检测和库重写的组合捕获API级别调用。 本发明允许API函数调用和返回的事件级别跟踪,并且能够生成执行跟踪。 该仪器是轻量级的,并且依赖于大多数操作系统中的动态库/共享库链接机制。 因此,我们不需要源代码修改或二进制注入。 该工具可用于捕获参数值和返回值,可用于将API函数调用之间的跟踪相关联,以生成事务流逻辑。

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