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SYSTEM AND METHOD FOR UNSUPERVISED ANOMALY DETECTION ON INDUSTRIAL TIME-SERIES DATA

机译:工业时间序列数据异常监测的系统和方法

摘要

The present embodiments related to a machinery failure evaluation system and associated method. The system may receive time-series data associated with a piece of machinery. An anomaly associated with the piece of machinery may automatically be determined by comparing the time-series data with a model associated with the piece of machinery. Furthermore, it may be determined that the anomaly is not a known fault based on performing a lookup of known failure modes. In a case that the anomaly is not a known fault, an alert associated with an unknown failure mode may be transmitted.
机译:本实施例涉及机械故障评估系统和相关方法。该系统可以接收与一台机器相关联的时间序列数据。通过将时间序列数据与与该机器相关联的模型进行比较,可以自动确定与该机器相关联的异常。此外,可以基于执行已知故障模式的查找来确定异常不是已知故障。在异常不是已知故障的情况下,可以发送与未知故障模式相关联的警报。

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