Estimation of reliability with semi-parametric modeling of degradation

被引:2
|
作者
Bhuyan, Prajamitra [1 ]
Sengupta, Debasis [1 ]
机构
[1] Indian Stat Inst, Appl Stat Unit, Kolkata 700108, India
关键词
Accelerated failure time; Crack propagation; Kernel function; Monotonic spline; Random effects; SEMOR; Shape invariant model; CONSISTENCY;
D O I
10.1016/j.csda.2017.06.008
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In many real life scenarios, stress accumulates over time and the system fails as soon as the accumulated stress or degradation equals or exceeds a critical threshold. For some devices, it is possible to obtain measurements of degradation over time, and these measurements may contain useful information about product reliability. In this paper, we propose a semi parametric random effect (frailty) model for degradation path, and a method of estimating this path as well as the reliability. Consistency of the estimator under general conditions is established. Simulation results show superiority of the performance of the proposed method over a parametric competitor. The method is illustrated through the analysis of a real data set. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:172 / 185
页数:14
相关论文
共 50 条
  • [1] Semi-parametric estimation of shifts
    Gamboa, Fabrice
    Loubes, Jean-Michel
    Maza, Elie
    ELECTRONIC JOURNAL OF STATISTICS, 2007, 1 : 616 - 640
  • [2] SEMI-PARAMETRIC ESTIMATION OF INEQUALITY MEASURES
    Kpanzou, T. A.
    de Wet, T.
    Neethling, A.
    SOUTH AFRICAN STATISTICAL JOURNAL, 2013, 47 (01) : 33 - 48
  • [3] Semi-parametric estimation for ARCH models
    Alzghool, Raed
    Al-Zubi, Loai M.
    ALEXANDRIA ENGINEERING JOURNAL, 2018, 57 (01) : 367 - 373
  • [4] Sparse Semi-Parametric Chirp Estimation
    Sward, Johan
    Brynolfsson, Johan
    Jakobsson, Andreas
    Hansson-Sandsten, Maria
    CONFERENCE RECORD OF THE 2014 FORTY-EIGHTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, 2014, : 1236 - 1240
  • [5] System failure estimation based on field data and semi-parametric modeling
    Valis, David
    Pokora, Ondrej
    Kolacek, Jan
    ENGINEERING FAILURE ANALYSIS, 2019, 101 : 473 - 484
  • [6] Fault injection for semi-parametric reliability models
    White, Allan L.
    2005 IEEE AEROSPACE CONFERENCE, VOLS 1-4, 2005, : 537 - 556
  • [7] Reliability assessment of long-life products based on semi-parametric degradation model
    Li J.
    Wu H.
    Zhu C.
    Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2023, 45 (06): : 1893 - 1901
  • [8] Outliers in Semi-Parametric Estimation of Treatment Effects
    Canavire-Bacarreza, Gustavo
    Castro Penarrieta, Luis
    Ugarte Ontiveros, Darwin
    ECONOMETRICS, 2021, 9 (02)
  • [9] Semi-parametric estimation of multivariate extreme expectiles
    Beck, Nicholas
    Di Bernardino, Elena
    Mailhot, Melina
    JOURNAL OF MULTIVARIATE ANALYSIS, 2021, 184
  • [10] Estimation of general semi-parametric quantile regression
    Fan, Yan
    Zhu, Lixing
    JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2013, 143 (05) : 896 - 910