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

Marwa Belhaj Salem, Mitra Fouladirad and Estelle Deloux

Reliability Engineering and System Safety, 2022, vol. 223, issue C

Abstract: 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.

Keywords: Variance Gamma; Stochastic Degradation model; Statistical inference; Remaining useful life estimation; Prognostic; Sensitivity analysis; Estimation error propagation; Imperfect maintenance (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0951832022000850
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:223:y:2022:i:c:s0951832022000850

DOI: 10.1016/j.ress.2022.108417

Access Statistics for this article

Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares

More articles in Reliability Engineering and System Safety from Elsevier
Bibliographic data for series maintained by Catherine Liu ().