To fully utilize the fault information and improve diagnosis accuracy of rolling bearings, a multisensor feature fusion method is proposed. The contains two steps. First, intrinsic mode function (IMF) each sensor vibration signal calculated by variational decomposition (VMD), redundant such as noise eliminated. Then, time-domain, frequency-domain multiscale entropy features are extracted based ...

Multi-label feature selection attracts considerable attention from multi-label learning. Information theory-based methods intend to select the most informative features and reduce uncertain amount of information labels. Previous regard labels as constant. In fact, classification label set is captured by features, remaining uncertainty each changing dynamically. this paper, we categorize into tw...