首页> 外国专利> SYSTEM AND METHOD FOR RECOGNIZING AND FORECASTING ANOMALOUS SENSORY BEHAVIORAL PATTERNS OF A MACHINE

SYSTEM AND METHOD FOR RECOGNIZING AND FORECASTING ANOMALOUS SENSORY BEHAVIORAL PATTERNS OF A MACHINE

机译:用于识别和预测机器异常感官行为模式的系统和方法

摘要

A system and method for recognizing and forecasting anomalous sensory behavioral patterns of a machine, including: monitoring a first set of time-stamped sensory input data related to at least one machine; determining, upon analysis of the first set of time-stamped sensory input data, a first suspicious pattern of a first anomalous sensory input behavior associated with the first set of time-stamped sensory input data; comparing the first suspicious pattern to a second pattern of a second anomalous sensory input behavior that is associated with a second set of time-stamped sensory input data, wherein the second pattern previously determined to be indicative of a machine failure; and, determining if the first suspicious pattern is correlated above a predetermined threshold with the second pattern.
机译:一种用于识别和预测机器的异常感官行为模式的系统和方法,包括:监视与至少一台机器相关的第一组时间戳的感觉输入数据;在分析第一组时间戳的感觉输入数据时,确定与第一组时间戳的感觉输入数据相关联的第一异常感官输入行为的第一可疑模式;将第一种可疑模式与第二模次感觉输入行为的第二模式进行比较,其与第二组时间戳的感觉输入数据相关联,其中预先确定的第二模式指示机器故障;并且,确定第一可疑模式是否与第二模式相关的预定阈值。

著录项

  • 公开/公告号US2021240178A1

    专利类型

  • 公开/公告日2021-08-05

    原文格式PDF

  • 申请/专利权人 SKF AI LTD.;

    申请/专利号US202117236413

  • 发明设计人 WASEEM GHRAYEB;DAVID LAVID BEN LULU;

    申请日2021-04-21

  • 分类号G05B23/02;H04L29/08;

  • 国家 US

  • 入库时间 2022-08-24 20:20:42

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