Cost-optimal, condition-based maintenance

Témavezető: Zempléni András
ELTE TTK Valószínűségelméleti és Statisztika Tanszék
email: andras.zempleni@ttk.elte.hu

Témavezetők

Projekt leírás

In real life degradation problems one possible strategy is to define the maintenance programs by the actual condition of the structure. This is described in detail in [1]. The task is to understand the approach and to implement it in R, as well as to create a simulator program, where the degradation is modelled by a random onset time and a gamma process, as in [2]. The results can be then applied to biostatistics as well, where a disease plays a role of degradation.

Hivatkozások

[1] Yi Yang and John Dalsgaard Sørensen: Cost-Optimal Maintenance Planning for Defects on Wind Turbine Blades (Energies, 2019)

[2] Ayman Hijazy, András Zempléni: Gamma Process-Based Models for Disease Progression (Methodology And Computing In Applied Probability, 2020)

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