Health Monitoring, Diagnostics, and Self Healing in Complex and Networked Engineering Systems

本研究的目的是解决设计下一代智能系统的基础研究挑战，这些系统具有集成健康监测和自愈能力，并要求通过命令、控制和通信满足严格的性能要求。许多复杂的工程系统需要在不中断或性能下降的情况下可靠、高效地长时间运行。这种系统的实际应用实例很多。申请人对航空航天、汽车、制造业、自主空间和水下航行器和结构、（核）动力和通信领域的研究继续感兴趣，并有应用记录；化工及相关过程控制行业；能源储存（电池/燃料电池）和智能电网。出于安全、经济和环境的考虑，所有这些系统都必须在预期的工作范围内不间断地工作。另一方面，由于老化导致的故障或不工作是不可避免的，因此，自动化的能力可以持续监测系统的健康状况；检测故障的严重程度并对其进行排序、隔离并通过自修复来适应故障是极其重要的。拟议的研究满足了许多加拿大工业的需求，具有很高的商业化潜力，同样重要的是，将为加拿大工业提供训练有素的工程师。

The objective of this research is to address fundamental research challenges in designing the next generation of smart systems that have integrated heath monitoring and self-healing capabilities along with the requirement to meet stringent performance requirements through command, control, and communication. Many complex engineering systems need to perform reliably and efficiently for extended periods of time without any interruption or degradation in their performance. Practical examples of such system are abundant. The applicant continues to be interested, and has a track record in application of his research to aerospace, automotive, manufacturing, autonomous space and underwater vehicles and structures, (nuclear) power and communication; chemical and allied process control industries; energy storage (batteries/fuel cells) and smart grids. All of these systems must perform uninterrupted and within the desired operating range for safety, economic, and environmental reasons. On the other hand, failure or non-performance due to aging are inevitable, thus, an automated ability to continuously monitor the health of the system; detect and rank the severity of faults, isolate, and accommodate for failures through self-healing is of utmost importance. The proposed research meets the needs of many Canadian industries, has a high potential for commercialization, and as importantly, will provide the Canadian industries with a supply of highly trained engineers.