cff-version: 1.2.0
abstract: "<p>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.</p>"
authors:
  - family-names: Eggertsson
    given-names: Ragnar
    orcid: "https://orcid.org/0000-0003-4382-2189"
  - family-names: Eruguz
    given-names: Ayse Sena
    orcid: "https://orcid.org/0000-0003-3249-647X"
  - family-names: Basten
    given-names: Rob
    orcid: "https://orcid.org/0000-0003-4562-9681"
  - family-names: Maillart
    given-names: Lisa
    orcid: "https://orcid.org/0000-0002-6321-2671"
title: "Code underlying the publication: Maintenance Optimization for Multi-Component Systems with a Single Sensor"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/f533593a-c27e-4b4e-afe0-5354f93c5fb1.v1
license: MIT
date-released: 2024-09-12