Using Operational Performance Data to update Design Models for the Design of Failure-Resilient Engineered Systems

随着工程系统的老化，它变得更容易出现故障。老化工程系统的健康管理是一门寻求主动预防、减轻和从潜在的系统故障中恢复的科学。它可以潜在地使老化的工程系统具有故障弹性，从而大大降低其生命周期成本。然而，目前的工程设计方法并没有利用这些健康管理数据。该奖项支持基础研究，为弹性工程系统的健康管理设计提供必要的知识。具体来说，它将开发新的设计方法和工具，将健康管理整合到工程系统的设计阶段。设计人员可以使用新的设计方法和工具来开发具有故障弹性的工程系统，从而降低生命周期成本。这项研究的结果可能会刺激一些技术先进行业的增长，比如绿色能源或航空，这些行业目前经常遭受灾难性的故障和高昂的维护成本。这项研究还为工程设计、预后和健康管理等领域的研究人员提供了独特的研究和教育经验。学生将在跨学科的学习环境中接受培训。将创建一个工程弹性数据库，并向公众广泛开放。本研究通过将健康管理集成到系统设计中，为弹性工程系统开发开创了一种新颖的数据驱动设计模型同步平台。以前，健康管理的定量分析方法仅用于系统的运行阶段，而没有用于早期设计。为了使健康管理能够用于早期设计，本研究包括三个重点：1)时变设计建模，使用新的建模方法和工具对时变系统故障进行建模；2)数据驱动的设计模型同步，利用从实际老化工程系统中获取的传感数据更新设计模型；3)剩余使用寿命的基于模型的预测，使更新的设计模型能够用于生命周期健康管理。通过引入时变设计模型，本研究为工程系统设计阶段考虑系统性能退化提供了一种独特的解决方案。这项研究的结果将为利用系统设计模型来解决设计后阶段的系统故障打开大门，从而导致老化工程系统的弹性设计。

As an engineered system ages, it becomes more prone to failure. Health management of aging engineered systems is the science that seeks to proactively prevent, mitigate and recover from potential system failures. It can potentially make an aging engineered system failure-resilient, thus substantially reducing its lifecycle costs. However, current approaches to engineering design have not taken advantage of such health management data. This award supports fundamental research to create the knowledge needed for health-management-informed design of resilient engineered systems. Specifically, it will develop new methods and tools for design that integrate health management into the design phase of an engineered system. The new design methods and tools can be used by designers to develop failure resilient engineered systems with reduced lifecycle costs. The outcome of this research is likely to stimulate growth in several technologically advanced industries, such as green energy or aviation, which currently often suffer from catastrophic failures and high maintenance costs. This research also offers unique research and educational experiences for researchers across the fields of engineering design, prognostics, and health management. Students will be trained in an interdisciplinary learning environment. An engineering resilience database will be created and made widely accessible to public. This research pioneers a novel data-driven design model synchronization platform for resilient engineered systems development by integrating health management into systems design. Previously, quantitative analysis methods of health management were only used at the operating stage of a system and were not exploited for early-stage design. To enable health management being used for early-stage design, this research encompasses three thrusts: 1) time-variant design modeling, that models time-dependent system failures using novel modeling methods and tools to be created; 2) data-driven design model synchronization, which updates design models using sensory data acquired from actual aging engineered systems; and 3) model-based prognostics of remaining useful life, that enable updated design models being used for lifecycle health management. By introducing time-variant design models, this research offers a unique solution to consider system performance degradation in the design phase of engineered systems. The outcome of this research will open the door towards utilizing system design models to address post-design stage system failures, thereby leading to resilient design of aging engineered systems.