公开(公告)号：US20230063148A1

公开(公告)日：2023-03-02

申请号：US17967650

申请日：2022-10-17

Applicant: Huawei Technologies Co., Ltd.

Inventor： Junjian YE ,  Keli ZHANG ,  Xi ZHANG ,  Ruichu CAI ,  Jiawei CHEN

IPC: G06K9/62

Abstract: A transfer model training method and apparatus, and a fault detection method and apparatus are provided, and relate to the field of artificial intelligence. The transfer model training method includes: obtaining to-be-processed data (301), where the to-be-processed data includes unlabeled data from a target domain and labeled data from a source domain; obtaining a plurality of data segments of each dimension of data in the to-be-processed data (302), where the plurality of data segments are not the same; and training a transfer model based on the plurality of data segments, to obtain a trained transfer model (303). According to the method, both an overall feature of the to-be-processed data and a local feature hidden between the data segments can be obtained. This can effectively improve accuracy of data processing.