Remaining useful life prediction for complex systems with multiple indicators based on particle filter and parameter correlation

HIGHLIGHTS

  • who: . and collaborators from the School of Electronics and Information, Northwestern Polytechnical University, Xi`an, China have published the Article: Remaining Useful Life Prediction for Complex Systems with Multiple Indicators Based on Particle Filter and Parameter Correlation, in the Journal: (JOURNAL)
  • what: Optimal tuning (OT) is introduced to choose the best kernel A case study on the Commercial Modular AeroPropulsion System Simulation (C-MAPSS) dataset is applied to verify the proposed method the experiment shows that the proposed joint-RUL-prediction method based on possesses a superior prediction performance compared with that by using a . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?