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

“复杂网络工程系统中健康监测、诊断和自我修复的基础知识和应用”

• 批准号: 36407-2012
• 负责人: Saif, Mehrdad
• 金额: $ 2.99万
• 依托单位: University of Windsor
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=513404
• 关键词: Fundamentals; Applications; Health; Monitoring; Diagnostics

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.

许多复杂的工程系统需要在长时间内可靠有效地运行，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很多。航空航天、汽车、制造业、自主空间和水下航行器和结构、（核）电和通信、化学过程控制和相关行业、储能和智能电网是出于安全、经济和环境原因必须在所需操作范围内不间断运行的系统的示例。另一方面，导致性能下降、仪器或部件的初期或完全故障的事件（例如老化）是不可避免的。因此，连续监视系统的健康状况、检测任何可能故障的严重性并对其进行评级、以及隔离并通过自我修复来适应它的自动化能力对于所有上述系统来说都是非常期望的功能。我们建议研究设计下一代智能系统的基本挑战，这些系统具有健康监测和自我修复功能，并集成了更传统的命令，控制和通信要求。