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Pearson coefficient enhanced multi-branch joint attention network and adaptive decomposition based dual adaptive fault diagnosis scheme for rolling bearing

Crossref DOI link: https://doi.org/10.1007/s11760-025-04345-8

Published Online: 2025-06-18

Published Print: 2025-09

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Zheng, Gengfeng

Zhao, Dongfang

Liu, Shulin

Qin, Qin
Funding

Funding for this research was provided by:

Talent Program of the State Administration for Market Regulation (QNBJ202319)

Research projects of the State Administration for Market Regulation (2023MK070)

AI Empowered Research Program of Shanghai (A30NH240507-03)

Open Project Program of Fujian Key Laboratory of Special Intelligent Equipment Measurement and Control, Fujian Special Equipment Inspection and Research Institute, China (FJIES2024KF16)

Project of Shanghai Polytechnic University (EGD25QD01)
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Text and Data Mining valid from 2025-06-18

Version of Record valid from 2025-06-18
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Article History

Received: 9 March 2025

Revised: 19 May 2025

Accepted: 1 June 2025

First Online: 18 June 2025

Declarations

:

: The authors declare no competing interests.

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