ENBIS Spring Meeting 2022

Session

Degradation models

19 May 2022, 10:30

Grenoble

10. On the modelling of dependence between univariate Lévy wear processes and impact on the reliability function

Sophie MERCIER (University of Pau and Pays de l'Adour)

19/05/2022, 10:30

Univariate Lévy processes have become quite common in the reliability literature for modelling accumulative deterioration. In case of correlated deterioration indicators, several possibilities have been suggested for modelling their dependence. The point of this study is the analysis and comparison of three different dependence models considered in the most recent literature: 1. Use of a...

8. Stochastic Drift Model for Discrete Parameters

Lukas Sommeregger (Infineon Technologies Austria AG), Dr Horst Lewitschnig (Infineon Technologies Austria AG)

19/05/2022, 10:50

In the context of semiconductor reliability, predictive maintenance and calculation of residual useful life are important topics under the greater umbrella of prognostics and health management.
Especially in automotive applications, with higher expected usage times of self-driving autonomous vehicles, it becomes more and more important to recognize degradation processes early, so that...

13. Fuel cell stochastic deterioration modeling for energy management in a multi-stack system

Jian Zuo (Phd student)

19/05/2022, 11:10

Fuel cells use hydrogen and oxygen as reactants to produce electricity through electrochemical reactions with the only byproduct of water. They are widely used in various applications, e.g. transport, due to their high efficiency, energy density, and limited impact on environmental resources, however fuel cells deployment is held down by multiple barriers such as their high cost or their...

14. Change-level detection for Lévy subordinators

Landy Rabehasaina (Laboratoire de Mathématiques, Université Franche Comté)

19/05/2022, 11:30

Let $\boldsymbol{X}=(X_t)_{t\ge 0}$ be a process behaving as a general increasing Lévy process (subordinator) prior to hitting a given unknown level $m_0$, then behaving as another different subordinator once this threshold is crossed. We address the detection of this unknown threshold $m_0\in [0,+\infty]$ from an observed trajectory of the process. These kind of model and issue are...