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Communication Dans Un Congrès Année : 2017

A Study of Online Inspection for Multi-level Prognostics

Résumé

A system’s degradation behavior is often correlated with internal and external covariates which are usually difficult to access owing to expensive measurement cost. This paper presents a Particle Filtering based multi-level prognostics approach to predict the Remaining Useful Life of a system based on its State of Health degradation estimation with online inspections of covariates. A degrading system is simulated with covariates at different level. By investigating the covariate online, the degradation estimation shows a better prediction and lower cost than the estimation without inspection.
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Dates et versions

hal-02300475 , version 1 (29-09-2019)

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Dacheng Zhang, Catherine Cadet, Nadia Yousfi Steiner, Christophe Bérenguer. A Study of Online Inspection for Multi-level Prognostics. IFAC WC 2017 - 20th IFAC World Congress, Jul 2017, Toulouse, France. ⟨10.1016/j.ifacol.2017.08.2549⟩. ⟨hal-02300475⟩
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