公开(公告)号：US20250111771A1

公开(公告)日：2025-04-03

申请号：US18690795

申请日：2022-06-14

Applicant: ZTE CORPORATION

Inventor： Qingpeng NONG ,  Zhongliang LI ,  Xiangsheng ZHOU ,  Hong GAO ,  Yaofeng TU

IPC: G08B29/02 ,  G06N3/045 ,  G06N3/092 ,  G06N5/025

Abstract: A method for mining an alarm causality, a device for mining an alarm causality, and a storage medium. The method for mining the alarm causality includes: building a system alarm environment (101) for deep reinforcement learning based on system alarm information and root cause label data of the system alarm information; and learning and generating an alarm causality model (102) representing the alarm causality and structure through an interaction between a deep reinforcement learning agent and the system alarm environment.

公开(公告)号：US20220206898A1

公开(公告)日：2022-06-30

申请号：US17600551

申请日：2019-11-28

Applicant: ZTE Corporation

Inventor： Hongzhang YANG ,  Yaofeng TU ,  Yahui YANG ,  Zhongliang LI ,  Bin GUO

IPC: G06F11/10 ,  G06F11/30 ,  G06F11/34 ,  G06F11/07 ,  G06K9/62

Abstract: Disclosed are method and apparatus for predicting hard disk fault occurrence time of hard disk failure, and storage medium. The method includes steps of: screening a hard disk on the verge of failure from a plurality of hard disks according to state data acquired of hard disks; calculating variation quantity and discrete quantity of each piece of the state data of the hard disk on the verge of failure acquired over a first preset period of time, to obtain a first predicted data set; and inputting the first predicted data set into a first training model to obtain probability of occurrence of failure for the hard disk on the verge of failure over a future second preset period of time.