1D-DGAN-PHM: A 1-D denoising GAN for Prognostics and Health Management with an application to turbofan

The performance of prognostics is closely related to the quality of condition monitoring signals (e.g., temperature, pressure, or vibration signals), which reveal the degradation of the system of interest. However, typical condition monitoring signals include noise and outliers. Disentangling noise from these signals is essential to obtain...