Integrated Prognostics, Maintenance and Life Extending Control of Mechanical and Production Systems

9424587 该提案支持在连续时间生产过程的集成动力学、维护和寿命延长控制方面的研究。 本研究包括三个任务。 第一个任务涉及的随机疲劳损伤动力学模型的发展与实验确定的数据，并从出版的文献。 一个具体的化石燃料发电厂模型将被用作一个例子。 第二个任务的重点是基于连续变化和离散事件模型的决策和控制策略的合成。 该制剂将包括一个前馈政策在有限的时间范围内使用非线性规划，约束参数优化的非线性决策和控制的反馈回路，和交互式离散事件策略的维护决策和寿命延长控制的协调和监督水平使用的概念有限状态自动机。 第三个任务是在仿真试验台上对决策与控制系统进行仿真。 如果成功，这项研究将导致提高工厂的安全性，操作的可靠性，和连续时间的生产过程，如化学和加工厂，纸浆和造纸厂米尔斯，大型轧机米尔斯的可用性。 研究结果还可以扩展到离散的生产过程，如玻璃容器和灯泡、半导体、电器上的陶瓷搪瓷涂层和食品的制造。 这项研究包括一个步骤的概念，控制和诊断系统的基础上的感官和操作信息，可以用来改善工厂的操作特性。

9424587 This proposal supports research in integrated prognostics, maintenance, and life-extending control of continuous time production processes. The research includes three tasks. The first task involves the development of stochastic fatigue damage dynamics models with data determined by experiment and obtained from published literature. A specific fossil fuel power plant model will be used as an example case. The second task focuses on the synthesis of decision and control policies based on both continuously varying and discrete-event models. This formulation will include a feed-forward policy over a finite time horizon using nonlinear programming, a constrained parameter optimization for nonlinear decision and control in a feedback loop, and interactive discrete event strategies for maintenance decisions and life-extending control at the coordination and supervisory levels using the concept of finite-state automata. The third task is the simulation of the decision and control system on a simulation testbed. If successful, this research will lead to enhanced plant safety, operational reliability, and availability of continuous-time production processes such as chemical and processing plants, pulp and paper mills, and large rolling mills. The results should also be extendable to discrete production processes such as the manufacture of glass containers and light bulbs, semi-conductors, ceramic-enamel coatings on appliances, and food products. This research comprises a step toward the notion that control and diagnostic systems based on sensory and operational information can be used to improve plant operational characteristics.