SGER: Exploratory Research in Maintenance Science

9527953 Ling这项用于探索性研究的小额赠款将调查过程设备维护和可靠性的新观点，将其作为制成品生命周期建模的一部分。实现这一点的途径是将设备和流程的维护从响应性的纠正性维修转移到使用经验和计划服务的智能预防，最终达到以科学和传感器增强的方式进行预测性维护的目标。重点关注的领域是电子行业，在那里，这些研究人员建立了必要的联系，以获得支持他们的理论和方法的实证数据。探索性的研究目标是：明智地收集操作和维护数据，确定使用随机和机械方法建模设备退化的有前景的方法，并将工艺设备的退化建模纳入制造产品的生命周期建模。在数据的支持下，这些模型将带来一种方法，可以识别关键的设备部件，因为它们要么具有对其退化进行长期预测的前兆，要么它们退化得如此之快，以至于需要基于传感器的监测。这笔赠款将试图建立一个维护科学和工程基地，这将导致更高的可用性和生产率，降低能源和维护成本，并改善产品质量和安全。***

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. ***