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旨在主动预防、减轻潜在系统故障并从中恢复的科学。它可以使老化的工程系统具有故障恢复能力，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样的健康管理数据。该奖项支持基础研究，以创造健康管理所需的知识，弹性工程系统的知情设计。具体来说，它将开发新的设计方法和工具，将健康管理集成到工程系统的设计阶段。新的设计方法和工具可以被设计人员用来开发具有降低的生命周期成本的故障恢复工程系统。这项研究的结果可能会刺激几个技术先进的行业的增长，如绿色能源或航空，这些行业目前经常遭受灾难性故障和高昂的维护成本。这项研究还为工程设计，建筑学和健康管理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。将建立一个工程复原力数据库，并向公众广泛提供。本研究通过将健康管理集成到系统设计中，开创了一种新的数据驱动的设计模型同步平台，用于弹性工程系统开发。以前，健康管理的定量分析方法只用于系统的运行阶段，而不是用于早期设计。为了使健康管理能够用于早期设计，本研究包括三个方面：1）时变设计建模，使用新的建模方法和工具来建模时变系统故障; 2）数据驱动的设计模型同步，使用从实际老化工程系统获得的传感数据来更新设计模型;以及3）剩余使用寿命的基于模型的特性，其使得能够将更新的设计模型用于生命周期健康管理。通过引入时变设计模型，本研究提供了一个独特的解决方案，考虑系统性能退化的工程系统的设计阶段。这项研究的结果将打开大门，利用系统设计模型来解决设计后阶段的系统故障，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.