Title:
TRANSFER MODEL TRAINING METHOD AND APPARATUS AND FAULT DETECTION METHOD AND APPARATUS
Document Type and Number:
WIPO Patent Application WO/2021/208799
Kind Code:
A1
Abstract:
A transfer model training method and apparatus and a fault detection method and apparatus, relating to the field of artificial intelligence. The transfer model training method comprises: acquiring data to be processed (301), said data including unlabelled data from a target domain and labelled data from a source domain; obtaining a plurality of data segments of data in each dimension in said data (302), the plurality of data segments not being completely the same; and using the plurality of data segments to train a transfer model, to obtain a trained transfer model (303). By means of said method, not only overall features of data to be processed can be acquired, but also local features hidden between data segments can be acquired, thereby effectively improving the accuracy of data processing.
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Inventors:
YE JUNJIAN (CN)
ZHANG KELI (CN)
ZHANG XI (CN)
CAI RUICHU (CN)
CHEN JIAWEI (CN)
ZHANG KELI (CN)
ZHANG XI (CN)
CAI RUICHU (CN)
CHEN JIAWEI (CN)
Application Number:
PCT/CN2021/086001
Publication Date:
October 21, 2021
Filing Date:
April 08, 2021
Export Citation:
Assignee:
HUAWEI TECH CO LTD (CN)
International Classes:
G06K9/62
Domestic Patent References:
| WO2020009652A1 | 2020-01-09 |
Foreign References:
| CN111612035A | 2020-09-01 | |||
| CN110849627A | 2020-02-28 | |||
| CN109376620A | 2019-02-22 | |||
| CN108898218A | 2018-11-27 | |||
| CN202010308439A | 2020-04-18 |
Attorney, Agent or Firm:
LONGSUN LEAD IP LTD. (CN)
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