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Author

Minan Tang

3 papers indexed here

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Sep 2026

Vibration signal transformation-based fault diagnosis for wind turbine gearboxes considering deep feature optimization

To address diagnostic challenges in feature extraction and parameter tuning for wind turbine gearboxes, this study proposes a diagnostic model that integrates the Gramian angular field, a convolutional neural network, and a least-squares support vector machine optimized by the dream optimization algorithm. First, Grami...

Zhi-Hao Fan, Mi-Nan Tang, Han-Ting Li et al. · 0 citations
Jul 2026

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

Rotor imbalance represents a critical fault type affecting the operational stability and power generation efficiency of wind turbines, commonly induced by multiple factors including blade mass deviation, pitch angle abnormalities, and structural damage. To address the intelligent identification of rotor imbalance fault...

Minan Tang, Yue Pan, Yuao Wu et al. · 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. · 0 citations

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