Piecewise deterministic Markov processes applied to fatigue crack growth modelling

被引:39
作者
Chiquet, Julien [1 ]
Limnios, Nikolaos [1 ]
Eid, Mohamed [2 ]
机构
[1] Univ Technol Compiegne, F-60206 Compiegne, France
[2] Commissariat Energie Atom, Saclay, France
关键词
Piecewise deterministic Markov process; Markov renewal process; Averaging principle; Maximum likelihood estimation; Fatigue crack growth; STOCHASTIC DYNAMICAL-SYSTEMS; RELIABILITY;
D O I
10.1016/j.jspi.2008.05.034
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In this paper, we use a particular piecewise deterministic Markov process (PDMP) to model the evolution of a degradation mechanism that may arise in various structural components, namely, the fatigue crack growth. We first derive some probability results on the stochastic dynamics with the help of Markov renewal theory: a closed-form solution for the transition function of the PDMP is given. Then, we investigate some methods to estimate the parameters of the dynamical system, involving Bogolyubov's averaging principle and maximum likelihood estimation for the infinitesimal generator of the underlying jump Markov process. Numerical applications on a real crack data set are given. (C) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:1657 / 1667
页数:11
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