Incorporation of frailties into a non-proportional hazard regression model and its diagnostics for reliability modeling of downhole safety valves
| Autor: | Paulo Guilherme Oliveira De Oliveira, Hugo Francisco Lisboa Santos, Alex L. Mota, Pedro Luiz Ramos, Eder Angelo Milani, Oilson Alberto Gonzatto Junior, José Alberto Cuminato, Luis F. A. Alegría, Ivan C. Perissini, P.H.D. Ferreira, Marcus V. C. Magalhães, Gustavo Bochio, Oscar Mauricio Hernandez Rodriguez, Danilo Colombo, Francisco Louzada, Vera Tomazella |
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| Rok vydání: | 2020 |
| Předmět: |
Hazard (logic)
FOS: Computer and information sciences frailty model General Computer Science Computer science non-proportional hazard 01 natural sciences Unobservable Statistics - Applications 010104 statistics & probability 03 medical and health sciences 0302 clinical medicine Downhole safety valve Covariate generalized time-dependent logistic General Materials Science Applications (stat.AP) 030212 general & internal medicine 0101 mathematics Reliability (statistics) PROSPECÇÃO DO PETRÓLEO hydrogen sulfide concentration General Engineering Sampling (statistics) Regression analysis Regression Reliability engineering lcsh:Electrical engineering. Electronics. Nuclear engineering lcsh:TK1-9971 |
| Zdroj: | Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual) Universidade de São Paulo (USP) instacron:USP IEEE Access, Vol 8, Pp 219757-219774 (2020) |
| Popis: | In this paper, our proposal consists of incorporating frailty into a statistical methodology for modeling time-to-event data, based on non-proportional hazards regression model. Specifically, we use the generalized time-dependent logistic (GTDL) model with a frailty term introduced in the hazard function to control for unobservable heterogeneity among the sampling units. We also add a regression in the parameter that measures the effect of time, since it can directly reflect the influence of covariates on the effect of time-to-failure. The practical relevance of the proposed model is illustrated in a real problem based on a data set for downhole safety valves (DHSVs) used in offshore oil and gas production wells. The reliability estimation of DHSVs can be used, among others, to predict the blowout occurrence, assess the workover demand and aid decision-making actions. |
| Databáze: | OpenAIRE |
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