%0 Computer Program %A Eggertsson, Ragnar %A Eruguz, Ayse Sena %A Basten, Rob %A Maillart, Lisa %D 2024 %T Code underlying the publication: Maintenance Optimization for Multi-Component Systems with a Single Sensor %U %R 10.4121/f533593a-c27e-4b4e-afe0-5354f93c5fb1.v1 %K Maintenance %K Condition-based maintenance %K Multi-component systems %K Partially observable Markov decision process %K Inspection planning %X
This is the code used to generate the results for the paper Maintenance Optimization for Multi-Component Systems with a Single Sensor by Ragnar Eggertsson, Ayse Sena Eruguz, Rob Basten, and Lisa M. Maillart. The paper introduces a novel model to optimize maintenance interventions for a multi-component system with a single sensor. The model is formulated as a partially observable Markov decision process. The Python script in this repository implements the algorithm, discussed in the paper, that solves the model. This algorithm is a type of incremental pruning algorithm. Running this algorithm generates the results presented in the section Illustrative Examples.
%I 4TU.ResearchData