Researchers are exploring methods to reduce label dependence in vibration-based drill-bit condition monitoring. A framework involving masked feature pretraining is being considered for this purpose. Additionally, a multistage transfer learning approach is being examined for intelligent fault diagnosis of rotating machinery under varying conditions.