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Title:
CROSS-DEVICE INCREMENTAL BEARING FAULT DIAGNOSIS METHOD BASED ON CONTINUOUS LEARNING
Document Type and Number:
WIPO Patent Application WO/2024/021246
Kind Code:
A1
Abstract:
A cross-device incremental bearing fault diagnosis method based on continuous learning. The method comprises: constructing a cross-device incremental bearing health state data set, and dividing same into diagnosis tasks of different stages according to devices (S101); constructing an initial diagnosis model by using diagnosis task data of the first device, and screening a typical case (S102); introducing neuron-level fine tuning and a classifier on the basis of the initial diagnosis model, so as to obtain a diagnosis model (S103); co-training the diagnosis model by using the typical case and bearing fault diagnosis task data of the next device, reducing, by using a loss function, the difference between the diagnosis model in the current stage and the diagnosis model in the previous stage in terms of diagnosis task data in the previous stage, and screening a typical case (S104); and repeating the step S104, and diagnosing bearing faults of all learned tasks by using the current diagnosis model, so as to obtain a bearing fault diagnosis result (S105). In the method, a continuous learning method is used to construct a diagnosis model which continuously accumulates and reuses knowledge, such that the problem of catastrophic forgetting can be solved, thereby adapting to a requirement regarding cross-device incremental bearing fault diagnosis.

Inventors:
SHEN CHANGQING (CN)
CHEN BOJIAN (CN)
LI LIN (CN)
KONG LIN (CN)
TAN LUYANG (CN)
WANG DONG (CN)
SHI JUANJUAN (CN)
HUANG WEIGUO (CN)
ZHU ZHONGKUI (CN)
Application Number:
PCT/CN2022/118373
Publication Date:
February 01, 2024
Filing Date:
September 13, 2022
Export Citation:
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Assignee:
UNIV SOOCHOW (CN)
International Classes:
G01M13/04; G06N3/08
Foreign References:
CN114429153A2022-05-03
CN113935406A2022-01-14
CN112183581A2021-01-05
CN110162018A2019-08-23
US20210190882A12021-06-24
Attorney, Agent or Firm:
CENTRAL SOUTH WELL INTELLECTUAL PROPERTY OFFICE (CN)
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