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Yun Kong

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#federated learning Review Open access Sep 2026

Wind turbine drivetrain fault diagnosis and intelligent O&M: a review

As wind turbines evolve toward larger capacities, fleet-level clustering, and operation under complex conditions, fault mechanisms in key drivetrain components show multi-physics coupling and complex evolution, creating a major bottleneck in condition monitoring: models are often constructible but hard to generalize. A...

Xue-Yi Li, Zi-Ge Wang, Wen-Yang Hu et al. · 0 citations
Open access Jul 2026

Mode entropy knowledge machine: a fully automated bearing fault diagnosis model for complex operating conditions

Accurate diagnosis of rolling bearing faults is critical to the reliability of industrial equipment. However, rolling bearings often operate under complex operating conditions, and with data imbalances and noise interference, fault diagnosis of them remains extremely challenging. To address these issues, a novel mode e...

Hongchuang Tan, Yiheng Su, Jiang Ding et al. · 0 citations

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