Automated health monitoring and fault diagnosis in complex dynamical systems-- theory and applications

复杂动力系统的自动健康监测和故障诊断——理论与应用

• 批准号: 36407-2007
• 负责人: Saif, Mehrdad
• 金额: $ 2.99万
• 依托单位: Simon Fraser University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2011
• 资助国家: 加拿大
• 起止时间: 2011-01-01 至 2012-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=474666
• 关键词: Automated; health; monitoring; fault; diagnosis

The proposed research is concerned with the study of fundamental research problems that would pave the way for designing the next generation of engineering systems that integrate conventional control system design with Fault Detection, Isolation, Estimation, and Accommodation (FDIEA) objectives, thus enabling the system to function for extended periods of time, safely, efficiently, with more autonomy, and less interruption in service. FDIEA problem is of crucial importance in safety and mission critical domains such as space and aerospace applications. In certain other domains, such as chemical/petrochemical, manufacturing, power and communication networks, safety to some extent, but mainly economics is the main motivation for having such capabilities. Yet environmental concerns and the desire for fuel efficiency drive the governments requirement for new vehicles to have On-Board engine Diagnostics capabilities (OBD II).

拟议的研究关注的基础研究问题的研究，将铺平道路，为设计下一代的工程系统，集成传统的控制系统设计与故障检测，隔离，估计和调节（FDIEA）的目标，从而使系统的功能延长的时间，安全，有效地，更多的自主权，并减少中断服务。FDIEA问题在安全和使命关键领域，如空间和航空航天应用中至关重要。在某些其他领域，例如化学/石化、制造、电力和通信网络，在某种程度上安全性，但主要是经济性是具有这种能力的主要动机。 然而，对环境的关注和对燃油效率的渴望推动了政府对新车具有车载发动机诊断功能（OBD II）的要求。