CRII: CPS: Designing Complex Cyber-Physical Systems for Failure Resilience

该项目的重点是开发一种新的设计平台，通过利用物理系统的设计和操作之间的协同作用，提高复杂网络物理系统（CPS）的故障恢复能力。弹性定义了工程系统感知和承受不良事件以及从不良事件影响中恢复的能力。该设计平台提供了利用网络支持的故障诊断和故障诊断信息故障恢复所需的新方法和工具，以使CPS具有较低的冗余水平。该项目将开发方法和工具，并使用风力涡轮机齿轮箱作为CPS应用程序演示设计平台的概念验证。这项研究的成功将在延长CPS的寿命和耐用性方面取得重大进展，并可能导致CPS的开发比现有系统更可靠，更具成本效益。设计平台还将加强对有复原力的网络物理基础设施系统的理解和设计，这些系统在发生不利事件时仍能提供基本商品和服务，迄今为止，物理系统的故障特征仅在运行阶段得到利用，而且与系统的早期设计无关，这可能是由于缺乏对系统设计与运行之间战略互动的认识。本项目开发的设计平台将通过促进基于仿真的设计和基于传感器的设计的协同集成，弥合早期设计和设计后的设计之间的差距。该研究项目将为工程设计，嵌入式监控系统和生物学和健康管理领域的研究生提供丰富的研究和教育经验，并为STEM学科的本科生和高中生提供独特的教育和推广计划。

This project focuses on developing a novel design platform to improve failure-resilience in complex cyberphysical systems (CPSs) by exploiting the synergy between the design and operation of the physical systems. Resilience defines the ability of an engineered system to sense and withstand adverse events, and to recover from the effects of the adverse events. The design platform provides new methods and tools needed to leverage cyber-enabled failure prognostics and prognostics-informed failure recovery for making CPSs resilient with reduced levels of redundancy. This project will develop the methods and tools, and demonstrate proof-of-concept of the design platform using wind turbine gearbox as a CPS application. The success of this research will produce major advancements in extending life and durability of CPSs, and will potentially lead to the development of CPSs that are more reliable and cost-effective than existing systems. The design platform will also enhance the understanding and design of resilient cyber-physical infrastructure systems that provide essential goods and services despite adverse events.To date, failure prognostics of a physical system has been exploited only in the operation stage and in isolation with the early design of the system, which may be attributed to the lack of cognizance of strategic interactions between the design and operation of the system. The design platform developed in this project will bridge the gap between early-stage design and post-design prognostics by facilitating a synergistic integration of simulation-based design and sensor-based prognostics. The research project will provide rich research and educational experiences for graduate students in the fields of engineering design, embedded monitoring systems and prognostics and health management, as well as offer unique education and outreach programs for undergraduate and high school students in STEM disciplines.