Quantitative Analysis of Multi-Source Wind Turbine Noise Using Adaptive Decomposition and SHAP
Based on the Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (ICEEMDAN), a one-dimensional convolutional neural network (1D-CNN), and a synchrosqueezed wavelet transform, a new framework is proposed to identify noise sources of wind turbine generators. The contributions of multimodal noise f...