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A framework to practical predictive maintenance modeling for multi-state systems

机译：多状态系统实用的预测性维护建模框架

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摘要

A simple practical framework for predictive maintenance (PdM)-based scheduling of multi-state systems (MSS) is developed. The maintenance schedules are derived from a system-perspective using the failure times of the overall system as estimated from its performance degradation trends.rnThe system analyzed in this work is a flow transmission water pipe system. The various factors influencing PdM-based scheduling are identified and their impact on the system reliability and performance are quantitatively studied. The estimated times to replacement of the MSS may also be derived from the developed model.rnThe results of the model simulation demonstrate the significant impact of maintenance quality and the criteria for the call for maintenance (user demand) on the system reliability and mean performance characteristics. A slight improvement in maintenance quality is found to postpone the system replacement time by manifold. The consistency in the quality of maintenance work with minimal variance is also identified as a very important factor that enhances the system's future operational and downtime event predictability.rnThe studies also reveal that in order to reduce the frequency of maintenance actions, it is necessary to lower the minimum user demand from the system if possible, ensuring at the same time that the system still performs its intended function effectively.rnThe model proposed can be utilized to implement a PdM program in the industry with a few modifications to suit the individual industrial systems' needs.
机译：开发了一个简单的实用框架，用于基于预测性维护（PdM）的多状态系统（MSS）调度。维护计划是根据系统的性能退化趋势估算的，使用整个系统的故障时间从系统角度得出的。本工作中分析的系统是一种输水管道系统。确定了影响基于PdM的调度的各种因素，并定量研究了它们对系统可靠性和性能的影响。估计的MSS更换时间也可以从开发的模型中得出。模型仿真的结果表明维护质量以及维护要求（用户需求）对系统可靠性和平均性能特征的重大影响。 。发现维护质量略有提高，可以通过歧管推迟系统更换时间。维护工作质量的一致性和最小的差异也被认为是提高系统未来运行和停机事件可预测性的一个非常重要的因素。研究还表明，为了减少维护行动的频率，有必要降低如果可能的话，从系统中获得最小的用户需求，同时确保系统仍然有效地执行其预期的功能。建议的模型可以用于实施行业中的PdM程序，并进行了一些修改以适合各个工业系统的需求。需要。

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