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Code underlying the publication: Maintenance Optimization for Multi-Component Systems with a Single Sensor

Code underlying the publication: Maintenance Optimization for Multi-Component Systems with a Single Sensor

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Description

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.

Logo of Code underlying the publication: Maintenance Optimization for Multi-Component Systems with a Single Sensor
Keywords
Condition-based maintenance
Inspection planning
Maintenance
Multi-component systems
Partially observable Markov decision process
Programming languages
License
  • MIT
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