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Remaining useful life prediction for degrading systems with random shocks considering measurement uncertainty

  • Published:2021-10 Issue: Volume:61 Page:782-798
  • ISSN:0278-6125
  • Container-title:Journal of Manufacturing Systems
  • language:en
  • Short-container-title:Journal of Manufacturing Systems

Author:

Kong Xuefeng,Yang JunORCID,Li Lei

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Academic Excellence Foundation of BUAA for PHD Students

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Hardware and Architecture,Software,Control and Systems Engineering

Reference36 articles.

1. A joint classification-regression method for multi-stage remaining useful life prediction;Wu;Int J Ind Manuf Syst Eng,2021

2. Remaining useful life prediction for non-stationary degradation processes with shocks;Ke;J Risk Reliab,2017

3. Long short-term memory for machine remaining life prediction;Zhang;Int J Ind Manuf Syst Eng,2018

4. Prognostic modelling options for remaining useful life estimation by industry;Sikorska;Mech Syst Signal Process,2011

5. Quick health assessment for industrial robot health degradation and the supporting advanced sensing development;Qiao;Int J Ind Manuf Syst Eng,2018

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