公开(公告)号：US11276004B2

公开(公告)日：2022-03-15

申请号：US15428986

申请日：2017-02-09

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

Inventor： Yun Chen ,  Bo Wang ,  Dong Wang ,  Xianping Qu ,  Xuanyou Guo ,  Yongqian Sun ,  Yangsha Wan

IPC: G06N5/04 ,  G06N20/00

Abstract: A method and apparatus for monitoring a system are provided. The method includes: acquiring a series of historical status index data of a monitored system during at least one data collection period; introducing the series of historical status index data into a pre-trained recommended feature extraction model to perform a matching operation, to obtain a feature extraction algorithm matching the series of historical status index data as a recommended feature extraction algorithm; determining a normal value range of feature values obtained by performing feature extraction on the series of status index data of the monitored system according to the recommended feature extraction algorithm; and monitoring the monitored system according to the recommended feature extraction algorithm and the normal value range.

公开(公告)号：US20180075356A1

公开(公告)日：2018-03-15

申请号：US15428986

申请日：2017-02-09

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

Inventor： Yun Chen ,  Bo Wang ,  Dong Wang ,  Xianping Qu ,  Xuanyou Guo ,  Yongqian Sun ,  Yangsha Wan

IPC: G06N5/04 ,  G06N99/00

CPC classification number: G06N5/04 ,  G06N20/00

Abstract: Disclosed are a method and apparatus for monitoring a system. The method comprises: acquiring historical status index data series of a monitored system during at least one data collection period; introducing the historical status index data series into a pre-trained recommended feature extraction model to perform a matching operation, to obtain a feature extraction algorithm matched with the historical status index data series as a recommended feature extraction algorithm; determining a maximum value and a minimum value of feature values obtained by performing feature extraction on the historical status index data series according to the recommended feature extraction algorithm; determining, based on the determined maximum value and minimum value, a normal value range of feature values obtained by performing feature extraction on status index data series of the monitored system according to the recommended feature extraction algorithm; monitoring the monitored system according to the recommended feature extraction algorithm and the normal value range.