公开(公告)号：US11140021B2

公开(公告)日：2021-10-05

申请号：US16351033

申请日：2019-03-12

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Lujia Pan ,  Caifeng He ,  Jianfeng Zhang

IPC: H04L12/24 ,  H04L12/26

Abstract: This application discloses a method and an apparatus for determining a fault type. The method includes: performing online real-time calculation on operating data generated by each of a plurality of users within a preset period, to obtain an operating feature value corresponding to the operating data generated by each of the plurality of users within the preset period; receiving a fault classification request, where the fault classification request requests to determine a fault type of a fault that is caused for a target user before a target moment; and determining, according to the fault classification request, the fault type of the fault that is caused for the target user before the target moment based on a fault classification model and an operating feature value that is of the target user within at least one preset period.

公开(公告)号：US11196638B2

公开(公告)日：2021-12-07

申请号：US15972512

申请日：2018-05-07

Applicant: Huawei Technologies Co., Ltd.

Inventor： Jianfeng Zhang

IPC: H04L12/24 ,  H04W24/04 ,  H04W24/08

Abstract: A method includes determining signaling sequence data of a user according to signaling plane data of the user, the signaling plane data of the user includes N pieces of signaling data and a timestamp of each of the N pieces of signaling data, and each of the N pieces of signaling data includes a signaling type, determining a first probability value of occurrence of a first network event according to the signaling sequence data of the user and a first supervised prediction model, determining a second probability value of occurrence of the first network event according to expert feature data of the user and a second supervised prediction model, the expert feature data of the user represents a value of at least one preset feature of the user, and determining a predicted occurrence probability of the first network event according to the first probability value and the second probability value.

公开(公告)号：US20180255470A1

公开(公告)日：2018-09-06

申请号：US15972512

申请日：2018-05-07

Applicant: Huawei Technologies Co., Ltd.

Inventor： Jianfeng Zhang

IPC: H04W24/04 ,  H04W24/08

CPC classification number: H04W24/04 ,  H04L41/142 ,  H04L41/147 ,  H04W24/08

Abstract: A method includes determining signaling sequence data of a user according to signaling plane data of the user, the signaling plane data of the user includes N pieces of signaling data and a timestamp of each of the N pieces of signaling data, and each of the N pieces of signaling data includes a signaling type, determining a first probability value of occurrence of a first network event according to the signaling sequence data of the user and a first supervised prediction model, determining a second probability value of occurrence of the first network event according to expert feature data of the user and a second supervised prediction model, the expert feature data of the user represents a value of at least one preset feature of the user, and determining a predicted occurrence probability of the first network event according to the first probability value and the second probability value.