Predictive maintenance for remanufacturing based on hybrid-driven remaining useful life prediction

HIGHLIGHTS

  • who: Ming Zhang et al. from the College of Engineering and Physical Sciences, Aston University, Birmingham , ET, UK have published the research: Predictive Maintenance for Remanufacturing Based on Hybrid-Driven Remaining Useful Life Prediction, in the Journal: (JOURNAL) of 22/03/2022
  • what: This work proposes a new predictive maintenance framework for the remanufacturing process based on a combination of and condition monitoring methods. The authors verified every part in the proposed predictive maintenance framework using the degradation vibration signal of rolling bearings. The project aims to provide the foundation and tools that enable manufacturers . . .

     

    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 ?