AI models of code have made significant progress over the last few years. However, many are actually not learning task-relevant source features. Instead, they often fit non-relevant but correlated data, leading to a lack robustness and generalizability, limiting subsequent practical use such models. In this work, we focus on improving model quality through signal awareness , i.e., relevant sign...

In the acoustics-based power transformer fault diagnosis, a acoustic signal collected by an sensor is generally mixed with large number of interference signals. order to separate signals from obtained small sensors, blind source separation (BSS) method based on sparse component analysis (SCA) proposed in this paper. Firstly, are transformed time domain time–frequency (TF) domain, and single poi...