系统仿真学报 ›› 2017, Vol. 29 ›› Issue (4): 847-852.doi: 10.16182/j.issn1004731x.joss.201704019

• 仿真建模理论与方法 • 上一篇    下一篇

基于变量置换的预测维修规划模型建模方法

尤明懿   

  1. 中国电子科技集团公司第三十六研究所,浙江 嘉兴 314033
  • 收稿日期:2015-06-26 修回日期:2015-11-12 出版日期:2017-04-08 发布日期:2020-06-03
  • 作者简介:尤明懿(1984-),男,江苏苏州,博士,高工,研究方向为系统可靠性技术、产品寿命预测与健康管理技术。

Modeling Approach for Predictive Maintenance Scheduling Model Based on Variable Conversion

You Mingyi   

  1. No.36 Research Institute of CETC, Jiaxing 314033, China
  • Received:2015-06-26 Revised:2015-11-12 Online:2017-04-08 Published:2020-06-03

摘要: 提出一种基于变量置换的预测维修规划模型建模方法。基于该方法,通过将传统基于时间的预防维修规划模型中的时间决策变量置换为产品状态监测变量,检验模型参数、维修效果、维修限制的状态相关性,即可实现对应的预测维修规划模型的建模。基于提出的建模方法,应用案例考察了一种尚未见报道的系统效益与状态相关的预测维修规划模型。提出的建模方法充分借鉴现有的预防维修规划模型,简化了预测维修规划模型的建模过程,有望促进预测维修策略的广泛应用。

关键词: 预防维修, 预测维修, 维修建模, 维修时间优化

Abstract: A modeling approach for predictive maintenance (PdM) scheduling model based on decision variable conversion was proposed. Based on the proposed approach, a PdM scheduling model could be established by replacing the time decision variable in the corresponding classical time-based preventive maintenance (PM) scheduling model with product condition variable(s) and checking the correlation of the model parameters, maintenance effect and maintenance constraints with product condition. Based on the proposed modeling approach, the application case study considered an unreported predictive maintenance model in which system benefit was correlated with its condition. The proposed approach used the existing PM scheduling models for reference and simplified the modeling process for PdM scheduling models. The proposed approach can hopefully advance wide application of PdM policies.

Key words: preventive maintenance, predictive maintenance, maintenance modeling, maintenance time optimization

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