Assessing Uncertainty from Data Collection to Maintenance Optimization

摘要：

In this paper,we will propose a framework to perform the optimization of periodical maintenance tasks for a production line,with a specific viewpoint on uncertainty issues from the modelling step to the analysis of numerical results.From a structured log file of operational data,we build a reliabilitybased model (block diagram) that is used to optimize the parameters of the maintenance policies through Monte Carlo simulations.The model is determined by using every data source available (Computerized Maintenance Management System hierarchy and failure mode classification especially).

关键词： intelligent maintenance Monte Carlo simulation optimization uncertainty

作者: Guillaume Fleurquin Christophe Letot Pierre Dehombreux Fouad Riane

作者单位: Risks Research CenterFaculté Polytechnique de Mons Rue du Joncquois,53 - B7000 Mons (Belgium) Center of Research and Studies in Industrial Management Catholic University of Mons Chaussée de Binc

会议类型: 国际会议

会议名称: 2009 8th International Conference on Reliability,Maintainability and Safety(第八届中国国际可靠性、维修性、安全性会议)

会议地点: 成都

会议语种:英文

页码: 174-179

在线出版日期: 2009-08-24（万方平台首次上网日期，不代表论文的发表时间）