Value of condition monitoring information for maintenance decision-making
type: Dataset
description: Condition and health monitoring can bring out useful information for the maintenance decision-making but few models allow their integration in the decision process. This thesis aims to construct new probabilistic quantitative models to evaluate the value of this kind of information depending on its quality and on the nature of the observed variables. The proposed stochastic failure and measurement models take into account the degradation/failure sensor data, the impact of operational environment on the degradation, as well as the nature of control techniques. Based on these models, we propose different maintenance policies and we develop the associated cost model to study the best methods for the exploitation of monitoring information. The studies in this thesis show the advantage of developing quantitative maintenance decision framework which allows integrating and evaluating the impact of condition monitoring information on the performance of maintenance operations.
identifier: NNT: 2011TROY0013
issued: 2026-05-14T11:35:25.234161
language: fr
modified: 2026-05-14T11:35:25.234167
contact point: Organization
  fn: CCSD
keyword: controle-technique
keyword: dependance-statistique
keyword: dependence-statistics
keyword: deterioration
keyword: engineering-inspection
keyword: entretien
keyword: fiabilite
keyword: infoeu-reposemanticsdoctoralthesis
keyword: maintenance
keyword: mathematical-models
keyword: mathematical-statistics
keyword: mathmath-dsmathematics-mathdynamical-systems-mathds
keyword: mathmath-prmathematics-mathprobability-mathpr
keyword: methodes-de
keyword: modeles-mathematiques
keyword: prediction-theory
keyword: prevision
keyword: processus-stochastiques
keyword: reliability
keyword: simulation
keyword: simulation-methods
keyword: spiautoengineering-sciences-physicsautomatic
keyword: spiotherengineering-sciences-physicsother
keyword: statistique-mathematique
keyword: stochastic-processes
keyword: theorie-de-la
keyword: theses
landing page: https://theses.hal.science/tel-00788661

Value of condition monitoring information for maintenance decision-making
type: Distribution
format: HTML
issued: 2026-05-14T11:35:25.239070
modified: 2026-05-14T11:35:25.174999
access URL: https://theses.hal.science/tel-00788661

test_moissonnage_selune
type: Agent