SGER: Exploratory Research in Maintenance Science

这项探索性研究的小额拨款将研究工艺设备维护和可靠性的新观点，作为制造产品生命周期建模的一部分。实现这一目标的途径是将设备和过程的维护从响应式纠正维修转移到使用经验和计划服务的智能预防，最终实现基于科学和传感器增强的预测性维护方式的目标。重点领域是电子行业，这些研究者已经建立了必要的联系，以获得实证数据来支持他们的理论和方法。探索性研究目标是：明智地组合操作和维护数据，确定有前途的方法，使用随机和机械方法对设备退化进行建模，并在制造产品的生命周期建模中包括工艺设备的退化建模。这些有数据支持的模型将产生一种方法，可以识别出关键的设备部件，因为它们要么有前体，可以对它们的退化进行长期预测，要么退化得太快，需要基于传感器的监测。这笔拨款将试图建立一个科学和工程基础的维护，这将导致更大的可用性和生产力，降低成本的能源和维护，并提高产品的质量和安全性。＊＊＊

9527953 Ling This Small Grant for Exploratory Research will investigate a new view of process equipment maintenance and reliability as part of the life cycle modeling of manufactured products. The path to accomplish this is to move maintenance of equipment and processes from responsive corrective repairs, to intelligent prevention using experience and scheduled service, finally to the goal of a science based and sensor enhanced way of doing predictive maintenance. The focus area is the electronics industry, where these investigators have established the contacts needed to get empirical data to back up their theory and methodology. The exploratory research objectives are: to judiciously assemble operating and maintenance data, to identify promising methods for modeling equipment degradation that use both stochastic and mechanistic methods, and to include degradation modeling of process equipment in the life cycle modeling of manufactured products. The models, backed up by data, will lead to a methodology that can identify equipment components that are critical because either they have precursors that give long range predictions of their degradation or they deteriorate so quickly they need sensor based monitoring. This grant will attempt to establish a science and engineering base for maintenance, that will lead greater availability and productivity, lower costs for energy and maintenance, and improved product quality and safety. ***