Variance Gamma process as degradation model for prognosis and imperfect maintenance of centrifugal pumps

This paper considers the degradation modelling of a non-monotonous health indicator. A Variance Gamma process is proposed for the degradation modelling and its calibration in presence of data is discussed. The remaining useful lifetime estimation based on this model is considered and its sensitivity...

Full description

Saved in:
Bibliographic Details
Published in:Reliability engineering & system safety 2022-07, Vol.223, p.108417, Article 108417
Main Authors: Salem, Marwa Belhaj, Fouladirad, Mitra, Deloux, Estelle
Format: Article
Language:English
Subjects:
Calibration
Centrifugal pumps
Degradation
Engineering Sciences
Estimation error propagation
Fluids mechanics
Imperfect maintenance
Maintenance
Mechanics
Modelling
Parameter estimation
Parameter sensitivity
Prognostic
Reliability engineering
Remaining useful life estimation
Sensitivity analysis
Statistical inference
Stochastic Degradation model
Variance Gamma
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper considers the degradation modelling of a non-monotonous health indicator. A Variance Gamma process is proposed for the degradation modelling and its calibration in presence of data is discussed. The remaining useful lifetime estimation based on this model is considered and its sensitivity to parameters estimates is analysed. The model is applied to real data of leakage rate of centrifugal pump. Eventually, an imperfect maintenance policy is proposed and optimized. •Variance Gamma Process (VGP) as a non-monotonous degradation model.•Failure time estimation and sensitivity analysis.•Prognosis and uncertainty analysis.•Prognosis for Centrifugal pump’s degradation.•Cost based Imperfect condition-based maintenance optimization.
ISSN:0951-8320
1879-0836
DOI:10.1016/j.ress.2022.108417