ENBIS Spring Meeting 2022

Session

Statistical inference for degradation models

20 May 2022, 10:10

Grenoble

20. Quantile Regression via Accelerated Destructive Degradation Modeling for Reliabilty Estimation

Ms Munwon Lim (Hanyang University), Ms Gyu Ri Kim (Department of Industrial Engineering, Hanyang University)

20/05/2022, 10:10

Along with the shortening of production period, manufacturing industry utilizes an accelerated degradation test (ADT) to estimate the reliability of newly developed products as quickly as possible. In ADT, the stress factor which is related to the failure mechanisms is imposed to cause the failure of products faster than those under normal use condition. By increasing the degree of stress such...

6. Imperfect condition-based maintenance for a gamma degradation process in presence of unknown parameters

Franck Corset (LJK - Université Grenoble Alpes)

20/05/2022, 10:30

A system subject to degradation is considered. The degradation is modelled by a gamma process. A condition-based maintenance policy with perfect corrective and an imperfect preventive actions is proposed. The maintenance cost is derived considering a Markov-renewal process. The statistical inference of the degradation and maintenance parameters by the maximum likelihood method is proposed. A...

5. Statistical inference for a Wiener-based degradation model with imperfect maintenance actions under different observation schemes

Margaux Leroy (Univ. Grenoble Alpes)

20/05/2022, 10:50

In this article, technological or industrial equipment that are subject to degradation are considered. These units undergo maintenance actions, which reduce their degradation level.
The paper considers a degradation model with imperfect maintenance effect. The underlying degradation process is a Wiener process with drift. The maintenance effects are described with an Arithmetic Reduction of...

7. A goodness-of-fit test for homogeneous gamma process under a general sampling scheme

Christian Paroissin (Université de Pau et des Pays de l'Adour)

20/05/2022, 11:10

Degradation models are more and more studied and used in practice. Most of these models are based on Lévy processes. For such models, estimation methods have been proposed. These models are also considered for developing complex and efficient maintenance policies. However, a main issue remains: goodness-of-fit (GoF) test for these models. In this talk, we propose a GoF test for the homogeneous...

19. Degradation Model Selection Using Depth Functions

Ms Arefe Asadi (University of technology of Troyes)

20/05/2022, 11:30

Degradation modeling is an effective way for the reliability analysis of complex systems. For highly reliable systems, in which their failure is hard to observe, degradation measurements often provide more information than failure time to improve system reliability (Meeker and Escobar 2014). The degradation can be viewed as damage to a system that accumulates over time and eventually leads to...