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Gamma process with recursive MLE for wear PDF prediction in precognitive maintenance under aperiodic monitoring

  • Published:2015-10 Issue: Volume:31 Page:68-77
  • ISSN:0957-4158
  • Container-title:Mechatronics
  • language:en
  • Short-container-title:Mechatronics

Author:

Yan Heng-Chao,Zhou Jun-Hong,Pang Chee Khiang

Funder

Singapore MOE AcRF Tier 1

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Control and Systems Engineering

Reference31 articles.

1. A review on machinery diagnostics and prognostics implementing condition-based maintenance;Jardine;Mech Syst Sign Proc,2006

2. Rotating machinery prognostics: state of the art, challenges and opportunities;Heng;Mech Syst Sign Proc,2009

3. A mixed time-/condition-based precognitive maintenance framework for zero-breakdown industrial systems;Pang;Ctrl Intell Syst,2013

4. PDF and breakdown time prediction for unobservable wear using enhanced particle filters in precognitive maintenance;Pang;IEEE Trans Instrum Meas,2015

5. System health monitoring and prognostics–a review of current paradigms and practices;Kothamasu;Int J Adv Manu Tech,2006

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