Katrina SGER: Dynamic Programming-based Health Monitoring and Prognostics for Levee and Communication Infrastructures

摘要提案编号：0633769提案标题：Katrina SGER：基于动态编程的堤坝和通信堤坝结构健康监测和预测PI姓名：Sarangapani，Jagannathan PI机构：密苏里大学-罗拉知识专长：这个PI将使用基于计算智能和学习的新方法来开发一个系统，以耦合健康监测传感器和无线通信，为新奥尔良和类似地区的堤坝系统提供实时评估。这些先进技术的集成是一项独特而具有挑战性的智力任务，高风险但高潜力。在计算智能领域，它将严重依赖于神经网络的自适应动态编程，这是ECS部门PCAN计划中的一个重要优先事项。(See www.eas.asu.edu/~nsfadp.)更广泛的影响：该SGER是2006财政年度由特别基金资助的一组SGER提案的一部分，这些提案是为可能利用NSF研究界的独特能力来帮助卡特里娜飓风受害者的项目而准备的。由于堤坝的状况是该地区的人们需要了解和更好地预测的最重要的单一信息，因此该项目直接满足了他们的需求。

AbstractProposal Number: 0633769Proposal Title: Katrina SGER: Dynamic Programming-based Health Monitoring and Prognostics for Levee and Communication InfrastructuresPI Name: Sarangapani, JagannathanPI Institution: University of Missouri-RollaIntellectual Merit: This PI will use novel methods, based upon computational intelligence and learning, to develop a system to couple health monitoring sensors and wireless communications, to provide real-time assessment of the levee system in New Orleans and similar areas. The integration of these advanced technologies is a unique and challenging intellectual task high risk but high potential. Within the area of computational intelligence, it will rely heavily on adaptive dynamic programming with neural networks, an important emerging priority within the PCAN program of the ECS Division. (See www.eas.asu.edu/~nsfadp.) Broader impacts: This SGER is part of a group of SGER proposals funded by special funds in fiscal year 2006, set aside for projects which may leverage unique capabilities of the NSF research community to try to benefit the victims of Katrina. Because the state of the levees is the most important single piece of information that the people in that area need to know about and anticipate better, this project directly addresses their needs.