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Hybrid univariate/multivariate prognostic-surveillance technique

机译:混合单变量/多变量预后监测技术

摘要

The disclosed embodiments relate to a system for analyzing telemetry data. During operation, the system obtains telemetry data gathered from sensors during operation of a monitored system. Next, the system applies a univariate model to the telemetry data to identify an operational phase for the monitored system, wherein the univariate model analyzes an individual signal in the telemetry data without reference to other signals in the telemetry data. The system then selects a phase-specific multivariate model based on the identified operational phase, wherein the phase-specific multivariate model was previously trained based on telemetry data gathered while the system was operating in the identified operational phase. Finally, the system uses the phase-specific multivariate model to monitor the telemetry data to detect incipient anomalies associated with the operation of the monitored system.
机译:所公开的实施例涉及一种用于分析遥测数据的系统。在运行期间,系统会在受监视系统的运行期间获取从传感器收集的遥测数据。接下来,系统将单变量模型应用于遥测数据以标识受监视系统的操作阶段,其中单变量模型在不参考遥测数据中的其他信号的情况下分析遥测数据中的单个信号。然后,系统基于识别出的操作阶段选择特定于阶段的多元模型,其中,基于系统在识别出的操作阶段中进行操作时收集的遥测数据,预先训练了特定于阶段的多元模型。最后,系统使用特定于阶段的多元模型来监视遥测数据,以检测与被监视系统的运行相关的初期异常。

著录项

  • 公开/公告号US10699007B2

    专利类型

  • 公开/公告日2020-06-30

    原文格式PDF

  • 申请/专利权人 ORACLE INTERNATIONAL CORPORATION;

    申请/专利号US201715457523

  • 申请日2017-03-13

  • 分类号H04L29/06;G06F21/55;G06F11/30;G06F11/34;G06N20;G06F16/2458;G06F16/2455;

  • 国家 US

  • 入库时间 2022-08-21 11:30:30

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