"Fundamentals and Applications of Health Monitoring, Diagnostics, and Self Healing in Complex and Networked Engineering Systems"

许多复杂的工程系统需要在较长的时间内可靠和高效地运行，而不会中断或降低其性能。这一要求通常源于安全、经济或环境方面的原因。这种制度的实际例子比比皆是。航空航天、汽车、制造、自主空间和水下机器人和结构、(核能)电力和通信；化工过程控制和相关工业；能源储存和智能电网是出于安全、经济和环境原因必须在期望的运行范围内不间断运行的系统的例子。另一方面，导致性能下降、仪器或部件初期或完全故障的事件(如老化)是不可避免的。因此，自动持续监视系统的运行状况、检测任何可能故障的严重性并对其进行评级，以及通过自我修复来隔离和适应故障的自动化能力，将是所有上述系统非常理想的功能。我们建议研究设计下一代智能系统的基本挑战，这些系统将健康监测和自我修复功能与更传统的指挥、控制和通信需求相集成。

Many complex engineering systems need to perform reliably and efficiently for extended periods of time without any interruption or degredation in their performance. This requirement often stem from safety, economics, or environmental reasons. Practical examples of such system are abundant. Aerospace, automotive, manufacturing, autonomous space and underwater vehicles and structures, (nuclear) power and communication; chemical process control and allied industries; energy storage and smart grids are example of systems that must perform uninterrupted and within the desired operating range for safety, economic, and environmental reasons. On the other hand, events (e.g. aging) leading to performance degradation, incipient or complete failure of instruments or component are inevitable. As such, an automated ability to continously monitor the health of the system; detect and rank the severity of any possible fault, as well as isolate, and accommodate for it through self healing, would be highly desirable functions for all aforementioned systems. We propose to study the fundamental challenges in designing the next generation of smart systems that have health monitoring and self healing capabilities integrated along with the more traditional requirements for command, control, and communications.