Author

Zhanglong Tao

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Jul 2026

Adaptive variational mode decomposition with attention-guided deep learning for multi-source fault diagnosis of wind turbine rotor imbalance

A hybrid diagnostic framework integrating the Ivy algorithm-optimized variational mode decomposition with an attention-enhanced temporal convolutional network and support vector machine classifier is proposed, confirming the framework’s high accuracy and generalization capability for multi-source rotor imbalance identi...

Mi-Nan Tang, Yue Pan, Yu-Ao Wu et al. · Transactions of the Institut... · 0 citations

Aug 2026

Fault diagnosis of wind turbine gearboxes using SABO-optimised VMD and CNN-SVM integrated model

A gearbox fault diagnosis method that integrates variational mode decomposition optimised by the subtraction-average-based optimiser (SABO) with a classification framework combining convolutional neural network (CNN) and support vector machine (SVM), which achieves a diagnostic accuracy of 96.43%, significantly outperf...

Minan Tang, Zhi-Hao Fan, Jinping Li et al. · Transactions of the Institut... · 0 citations