A Multistate-Based Control System Approach Toward Optimal Maintenance Planning
A Multistate-Based Control System Approach Toward Optimal Maintenance Planning
复制标题
DOI：
10.1109/tcst.2016.2550505
复制
发表时间：
2017
影响因子：
4.8
通讯作者：
Bo Wang-;Zhou Wu;X. Xia
中科院分区：
文献类型：
--
作者：
Bo Wang-;Zhou Wu;X. Xia
这个简短的将多态系统纳入控制系统的方法来解决维护计划优化（MPO）的问题。维护计划侧重于一组项目的整体。一个建筑节能改造的背景下，其中的改造项目被分为几个同质组。在多状态退化和维修影响下的同质群体动力学和总体性能动力学被表示为控制系统模型。此后，MPO被转换成一个最优控制问题。基于模型预测控制的方法来解决系统不确定性的最优控制问题。最后通过一个案例说明了该方法的有效性。
This brief incorporates the multistate system into a control system approach to address the maintenance plan optimization (MPO) problem. The maintenance plan focuses on the totality of a set of items. A building energy efficiency retrofitting context is employed, where the retrofitted items are categorized into several homogeneous groups. The homogeneous group population dynamics and the aggregate performance dynamics under the impacts of multistate deteriorations and maintenances are formulated as a control system model. Thereafter, the MPO is cast into an optimal control problem. A model-predicative-control-based approach is employed to solve the optimal control problem with system uncertainties. A case study is conducted to illustrate the effectiveness of the present approach.