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A dynamic maintenance decision approach based on maintenance action grouping for HVAC maintenance costs savings in Non-residential buildings

机译：基于维护动作分组的动态维护决策方法，用于HVAC维护成本在非住宅建筑中节省

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Huge maintenance costs in non-residential buildings weighted it down the overall costs allocated to HVAC (Heating, ventilation and air conditioning) system maintenance. Maintenance Management objective is to reduce or even avoid the corrective maintenance by proper planning and implementation of maintenance tasks at the right time. The aim of this paper is to early plan maintenance interventions for a multi-components system based on stoppages characteristics, system RUL (Remaining Useful Life) and components criticalities. This maintenance plan is made through a dynamic maintenance decision approach (DMDA) to help the maintenance expert in taking decision. Since combining maintenance activities is cheaper than performing maintenance on components separately, maintenance actions groupings are performed in the proposed approach by the mean of odds algorithm. This will allow optimizing system availability, reducing maintenance costs and delaying as late as possible maintenance interventions. Components criticalities are used for prioritizing components in the grouping process. Moreover, DMDA take into account predictive information such as system/components RUL, given by an existing prognostic process. At the end, a numerical example of a HVAC system with five components (Heat exchanger, filter, dampers, valve and fan) demonstrates the use and the advantages of the proposed DMDA.
机译：非住宅建筑中的巨额维护成本将其加强了分配给HVAC（供暖，通风和空调）系统维护的总成本。维护管理目标是通过适当规划和实施正确的时间来减少甚至避免纠正维护。本文的目的是根据停止特性，系统RUL（剩余使用寿命）和组件关键性的基于停工特性的多分量系统的早期计划维护干预。这种维护计划是通过动态维护决策方法（DMDA）进行的，以帮助维修专家决定。由于组合维护活动分别对组件进行维护便宜，因此通过赔率算法的平均值以所提出的方法执行维护动作分组。这将允许优化系统可用性，降低维护成本和尽可能迟到的维护干预措施。组件关键性用于在分组过程中优先考虑组件。此外，DMDA考虑了由现有预后过程给出的系统/组件RUL等预测信息。最后，具有五个部件（热交换器，过滤器，阻尼器，阀门和风扇）的HVAC系统的数值示例演示了所提出的DMDA的使用和优点。

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