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ANOMALY DETECTION METHOD AND APPARATUS, ELECTRONIC DEVICE AND STORAGE MEDIUM

机译:异常检测方法和装置,电子设备和存储介质

摘要

Provided are an anomaly detection method, an electronic device and a storage medium. In the method, when an anomaly detection instruction is received, a sample to be detected can be acquired, and whether said sample is periodic is determined; and when said sample is periodic, a time point to be detected is determined. Since not all pieces of data are detected, the detection efficiency is improved. A collection value corresponding to said time point is determined from said sample, and a pre-trained anomaly detection model is called; an expected value corresponding to the collection value is acquired from the anomaly detection model; and the residual between the collection value and the expected value is calculated, and whether said sample is abnormal is further determined on the basis of the anomaly detection model and the residual, such that intelligent operation and maintenance are realized. Since the anomaly detection model is multiple models built on the basis of S-H-ESD, the anomaly detection has the characteristic of high precision, and the automatic detection of various abnormalities is thus realized.
机译:提供是异常检测方法,电子设备和存储介质。在该方法中,当接收到异常检测指令时,可以获得要检测的样品,并确定所述样品是否定期;当所述样本是周期性时,确定要检测的时间点。由于未检测到所有数据,因此提高了检测效率。根据所述样本确定对应于所述时间点的收集值,并调用预训练的异常检测模型;从异常检测模型中获取对应于收集值的预期值;并且计算收集值和预期值之间的残余,并且在异常检测模型和残差的基础上进一步确定所述样品是否异常,使得实现智能操作和维护。由于异常检测模型是基于S-H-ESD构建的多种模型,因此异常检测具有高精度的特性,因此实现了各种异常的自动检测。

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