A novelty detection scheme for rolling bearing based on multiscale fuzzy distribution entropy and hybrid kernel convex hull approximation

•MFDE has been extracted from raw vibration signals.•A new classifier called HKCHA is proposed to fulfill detection masks.•A new rolling bearing novelty detection scheme based on MFDE and HKCHA is proposed.•Experimental results show that the proposed method outperforms the other methods.