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

复杂网络工程系统中的健康监测、诊断和自我修复

基本信息

批准号：
36407-2013
负责人：
Saif, Mehrdad
金额：
$ 2.11万
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：
2014
资助国家：
加拿大
起止时间：
2014-01-01 至 2015-12-31
项目状态：
已结题

来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=544712
关键词：
Health Monitoring Diagnostics Self Healing

项目摘要

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.

这项研究的目的是应对设计下一代智能系统的基本研究挑战，这些智能系统已经整合了荒地监测和自我修复功能，并要求通过命令，控制和沟通来满足严格的绩效要求。许多复杂的工程系统需要长时间可靠，有效地执行，而不会导致其性能中断或退化。这种系统的实际示例很丰富。申请人继续感兴趣，并在将其研究应用于航空航天，汽车，制造业，自主空间以及水下车辆和结构方面具有记录记录，（核）电源和通信；化学和盟军工艺控制行业；储能（电池/燃料电池）和智能网格。所有这些系统必须出于安全，经济和环境原因而在所需的工作范围内执行不间断的操作范围。另一方面，由于衰老而导致的失败或不绩效是不可避免的，因此，可以不断监测系统健康的自动化能力。检测并对通过自我修复进行故障的故障，分离和容纳的严重程度至关重要。拟议的研究满足了许多加拿大行业的需求，具有很高的商业化潜力，并且重要的是，将为加拿大行业提供训练有素的工程师的供应。