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Method and system for finding precursor subsequences in time series

机译:查找时间序列中的前体子序列的方法和系统

摘要

A system and method for identifying patterns in time series data representing machine operation. The memory stores and provides a set of example training data generated by the machine sensors, each example training data representing a machine operation over a period of time ending with a machine failure. The processor repeatedly divides each training data example into a normal region and an abnormal region, identifies a prediction pattern that is absent in the normal region and exists only once in each abnormal region, and determines the length of the abnormal region Configured as follows. The predicted pattern is output via an output interface in communication with the processor, or the predicted pattern is stored in memory, and the predicted pattern is a predictive estimate of an imminent failure and assists in machine management.
机译:一种用于识别表示机器操作的时间序列数据中的模式的系统和方法。存储器存储并提供由机器传感器生成的一组示例训练数据,每个示例训练数据表示在以机器故障结束的时间段内的机器操作。处理器将每个训练数据示例重复地划分为正常区域和异常区域,识别在正常区域中不存在并且在每个异常区域中仅存在一次的预测模式,并确定异常区域的长度。预测模式通过与处理器通信的输出接口输出,或者预测模式存储在内存中,并且预测模式是对即将发生的故障的预测估计,并有助于机器管理。

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