Remanufacturing decision based on RUL assessment

Yawei Hua, Shujie Liu, Hongchao Zhang

Research output: Contribution to journalConference articlepeer-review

13 Scopus citations


With the insufficiency of resources and environment degradation, remanufacturing of the mechanical products earns widespread respect. Remanufacturing decision making, as one of the most research directions in remanufacturing field, becomes the research hotpot gradually as well. Systematic research on remanufacturing decision making by means related to RUL assessment will be a significant development in remanufacturing theory due to it is an essential consideration at what RUL level time the device should leave from service for remanufacturing. In this paper, an analytical decision method based on the RUL assessment is proposed for a remanufacturing program. A fatigue crack growth case is used to establish the SSM, estimate the probability density distribution curve of the residual life by particle filter algorithm, and make remanufacturing decision finally. Above all the case shows the validity of the aforementioned method.

Original languageEnglish
Pages (from-to)764-768
Number of pages5
JournalProcedia CIRP
StatePublished - 2015
Event22nd CIRP Conference on Life Cycle Engineering, LCE 2015 - Sydney, Australia
Duration: Apr 7 2015Apr 9 2015


  • Particle filter
  • RUL assessment
  • Remanufacturing decision
  • State space model


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