Reliability of equipment in time-varying processes

许多工业过程在时变条件下操作。例如，制造单元、机器人操纵器运动、CANDU反应堆换料、采矿挖掘以及矿物加工操作中的泵送速率变化和阀门驱动。瞬态条件使设备状态监测和诊断变得困难;这种可变性对在复杂的集成工厂中实现长期可靠的过程性能提出了特别的挑战。这些工厂可能具有与设备故障、过程干扰和维护中断相关的生产损失的高机会成本，特别是当存在有限的库存或冗余时。综合工业流程将不得不越来越多地依赖信息，通过使用流程控制以及对系统可靠性和故障分类的在线评估，为生产和维护决策提供支持，以保持流程的稳健性，同时降低能源强度和减少中间浪涌能力。对于具有多种操作模式和可变操作条件的系统，没有用于评估和控制作为过程操作的函数的设备可靠性的通用框架。

Many industrial processes operate in time-varying conditions. Examples are manufacturing cells, robot manipulator motions, CANDU reactor refuelling, mining excavation, and pumping rate changes and valve actuation in mineral processing operations. Transient conditions make equipment condition monitoring and diagnostics difficult; and this variability poses a particular challenge in achieving reliable process performance in complex, integrated plants for extended periods of time. Such plants can have high opportunity costs of lost production associated with equipment faults, process interferences, and maintenance outages, particularly when there is limited inventory or redundancy. Integrated industrial processes will have to rely increasingly on information to maintain process robustness with reduced energy intensity and less intermediate surge capacity, by using process control as well as on-line assessments of system reliability and fault classification for production and maintenance decision-making. For systems that have multiple operating modes and variable operating conditions, there is no general framework for assessing and controlling equipment reliability as a function of process operation.