Description: Aiming at the difficult problem of early fault feature extraction of rolling bearing, an early fault diagnosis method based on parameter optimization variational modal decomposition is proposed. Firstly, the particle swarm optimization algorithm is used to search the parameters of the variational modal decomposition algorithm. After the search, the penalty parameters and the number of components of the variational modal decomposition algorithm are set according to the obtained results. The modal decomposition algorithm handles the fault signal.
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参数优化变分模态分解方法在滚动轴承早期故障诊断中的应用_唐贵基.pdf
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