A simple data augmentation algorithm and a self-adaptive convolutional architecture for few-shot fault diagnosis under different working conditions - Hu, Tianhao; Tang, Tang; Lin, Ronglai; Chen, Ming; Han, Shufa; Wu, Jie (Measurement : journal of the International Measurement Confederation, 2020)
Keywords: Adaptive algorithms; Algorithms; Architecture; Artificial neural networks; Computer simulation; Data augmentation; Datasets; Fast Fourier transformations; Fault diagnosis; Feature extraction; Few-show learning; Fourier transforms; Frequency spectrum; Generalization; Machine learning; Resampling; Self-adaptive convolutional neural network; Tracking; Fault diagnosis; Self-adaptive convolutional neural network; Data augmentation; Generalization; Few-show learning