Impulse Signal Detection for Bearing Fault Diagnosis via Residual-Variational Mode Decomposition

A novel method named residual-variational mode decomposition (RVMD) is proposed in this study to extract bearing fault features accurately. RVMD can determine the number of modes and balance parameter adaptively, it has two stages. In first stage, signal decomposed into a series until correlation coefficient between raw results reaches threshold. redefined kurtosis, which resist interferences from aperiodic impulse efficiency, applied rebuild ensemble kurtosis index. The that largest rebuild-ensemble its neighbors, are kept. By putting residual second an iteration process optimal parameters for variational (VMD). VMD re-run with parameters, sub-mode filtered larger examined by envelope analysis technology observe feature. effectiveness verified simulation three experiment signals. Its superiority shown comparing some existing methods.