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.

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

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．