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.· Transactions of the Institut...· 0 citations
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.· Transactions of the Institut...· 0 citations
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
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