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Digital twins enable domain adaptive rolling bearing fault diagnosis

Year: 2025

Type: article

Source: Engineering Research Express

DOI: 10.1088/2631-8695/ae0249

Authors: Hong Qian, Songjie Dou, Tingting Yang, Jinxue Shen

Institutions: Shanghai University of Electric Power, Shanghai Key Laboratory of Power Station Automation Technology

Language: English

Topic: Machine Fault Diagnosis Techniques

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: National Natural Science Foundation of China

OpenAlex ID: W4413923300

FWCI:

Cites: 34

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Related to: 10