TY - DATA T1 - Code underlying the publication: Maintenance Optimization for Multi-Component Systems with a Single Sensor PY - 2024/09/12 AU - Ragnar Eggertsson AU - Ayse Sena Eruguz AU - Rob Basten AU - Lisa Maillart UR - DO - 10.4121/f533593a-c27e-4b4e-afe0-5354f93c5fb1.v1 KW - Maintenance KW - Condition-based maintenance KW - Multi-component systems KW - Partially observable Markov decision process KW - Inspection planning N2 -

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.

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