A ResUNet diffusion adversarial generative network for small-sample bearing fault diagnosis
Rolling bearing fault diagnosis under limited-sample conditions often suffers from insufficient training data. To address this issue, a ResUNet Diffusion Adversarial Generative Network (RUDAGN) is proposed. First, vibration signals are transformed into time–frequency representations using Continuous Wavelet Transform (...