International audienceWe consider a wide class of increasing Lévy processes perturbed by an independent Brownian motion as a degradation model. Such family contains almost all classical degradation models considered in the literature. Classically failure time associated to such model is defined as the hitting time or the first-passage time of a fixed level. Since sample paths are not in general increasing, we consider also the last-passage time as the failure time following a recent work by Barker and Newby (Reliab Eng Syst Saf 94:33-43, 2009). We address here the problem of determining the distribution of the first-passage time and of the last-passage time. In the last section we consider a maintenance policy for such models. © 2013 Spring...
We present a new class of increasing, continuous Markovian degradation processes, called transforme...
Lévy processes are the natural continuous-time analogue of random walks and form a rich class of sto...
We present a new class of increasing, continuous Markovian degradation processes, called transformed...
International audienceWe consider a wide class of increasing Lévy processes perturbed by an independ...
We consider a wide class of increasing Lévy processes perturbed by an independent Brownian motion as...
This paper considers the class of Lévy processes that can be written as a Brownian motion time chan...
The joint distribution of the maximum loss and the maximum gain is obtained for a spectrally negativ...
We consider mean first-passage times (MFPTs) for systems driven by non-Markov gamma and McFadden dic...
The stationaryWiener process is widely used in modeling degradation processes, mainly due to the exi...
Phase-type distributions describe the random time taken for a Markov process to reach an absorbing s...
AbstractThese are processes A whose conditional laws, given some driving process X, are those of a p...
Traditional methods in survival, reliability, actuarial science, risk, and other event-history appli...
We derive a very general expression of the survival probability and the first passage time distrib...
In this paper, results on spectrally negative Lévy processes are used to study the ruin probability ...
Given a spectrally negative Lévy process, we predict, in an $L_1$ sense, the last passage time of th...
We present a new class of increasing, continuous Markovian degradation processes, called transforme...
Lévy processes are the natural continuous-time analogue of random walks and form a rich class of sto...
We present a new class of increasing, continuous Markovian degradation processes, called transformed...
International audienceWe consider a wide class of increasing Lévy processes perturbed by an independ...
We consider a wide class of increasing Lévy processes perturbed by an independent Brownian motion as...
This paper considers the class of Lévy processes that can be written as a Brownian motion time chan...
The joint distribution of the maximum loss and the maximum gain is obtained for a spectrally negativ...
We consider mean first-passage times (MFPTs) for systems driven by non-Markov gamma and McFadden dic...
The stationaryWiener process is widely used in modeling degradation processes, mainly due to the exi...
Phase-type distributions describe the random time taken for a Markov process to reach an absorbing s...
AbstractThese are processes A whose conditional laws, given some driving process X, are those of a p...
Traditional methods in survival, reliability, actuarial science, risk, and other event-history appli...
We derive a very general expression of the survival probability and the first passage time distrib...
In this paper, results on spectrally negative Lévy processes are used to study the ruin probability ...
Given a spectrally negative Lévy process, we predict, in an $L_1$ sense, the last passage time of th...
We present a new class of increasing, continuous Markovian degradation processes, called transforme...
Lévy processes are the natural continuous-time analogue of random walks and form a rich class of sto...
We present a new class of increasing, continuous Markovian degradation processes, called transformed...