ENBIS Spring Meeting 2022

Session

Reliability models

20 May 2022, 14:00

Grenoble

28. Modeling Spatially Clustered Failure Time Data via Multivariate Gaussian Random Fields

akim adekpedjou (University of Missouri)

20/05/2022, 14:00

Consider a fixed number of clustered areas identified by their geographical coordinate that monitored for the occurrences of an event such as pandemic, epidemic, migration to name a few. Data collected on units at all areas include time varying covariates and environmental factors. The collected data is considered pairwise to account for spatial correlation between all pair of areas. The...

9. Phase-type models for competing risks

Bo Henry Lindqvist (Norwegian University of Science and Technology)

20/05/2022, 14:20

A phase-type distribution can be defined to be the distribution of time to absorption for an absorbing finite state Markov chain in continuous time. Phase-type distributions have received much attention in applied probability, in particular in queuing theory, generalizing the Erlang distribution. Among other applications, they have for a long time been used in reliability and survival...

29. RELSYS : A new method based on damage physical-chemical processes with uncertainties and hazard.

Jerome de Reffye (individual researcher ( retired))

20/05/2022, 14:40

Jerome de Reffye
Engineering Degrees from Gustave Eiffel University ( ESIEE )
and Pierre et Marie Curie University ( Paris VI )
PhD in applied mathematics and theoretical physics
from Pierre et Marie Curie University

On opposite way of empirical approachs we develop an analytic method in Reliability - Maintainability - Availability - Safety (RAMS) area which led to the RELSYS model,...

12. Combining AI with Model based Design: battery State-of-charge estimator using Deep Learning

Dr Moubarak GADO (MathWorks)

20/05/2022, 15:00

Across industries, the growing dependence on battery pack energy storage has underscored the importance of battery management systems (BMS) whose role is to monitor battery state, ensure safe operation and maximize performance. For example, the BMS helps avoid overcharging and over discharging, it manages the temperature of the battery and so on, and it does so by collecting information from...