Collaborative Research: Design of Accelerated Prognostics and Health Management

合作研究：加速预测和健康管理的设计

• 批准号: 1127924
• 负责人: Jay Lee
• 金额: $ 15万
• 依托单位: University of Cincinnati Main Campus
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-08-15 至 2014-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1127924&HistoricalAwards=false
• 关键词: Collaborative; Research; Design; Accelerated; Prognostics

Center for Intelligent Maintenance Systems Proposal #1127924Proposal #1127922This proposal seeks funding for the Center for Center for Intelligent Maintenance Systems sites at the University of Cincinnati and the Missouri Institute of Science and Technology. Funding Requests for Fundamental Research are authorized by an NSF approved solicitation, NSF 10-601. The solicitation invites I/UCRCs to submit proposals for support of industry-defined fundamental research. Prognosis of industrial systems and the management of their health based on system data typically requires significant analysis and design prior to implementation of an effective detection and management system. The proposed work seeks to accelerate the process of collection and assessment of data in order to reduce the life cycle of Prognosis and Health Management (PHM) research. The work plans to explore a framework with unified systematic methods to ensure the precision of Remaining Useful Life (RUL) estimations that are essential for effective health management. The proposed work promises to significantly improve methods to estimate the usable lifetime of industrial equipment, thus enabling efficient maintenance of operating production systems and reducing overall cost. The work is supported by the Industry Advisory Board as well as individual industry members of the center and has the potential to extend the center?s portfolio by virtue of the framework to be established by the work. The center will involve graduate students, teachers and undergraduates in the work emphasizing involvement of minority and female students.

智能维护系统中心提案#1127924提案#1127922该提案为辛辛那提大学和密苏里科学技术学院的智能维护系统中心站点寻求资金。 基础研究的资助申请由 NSF 批准的征集 NSF 10-601 授权。 此次征集邀请 I/UCRC 提交支持行业定义的基础研究的提案。基于系统数据的工业系统的预测及其健康状况管理通常需要在实施有效的检测和管理系统之前进行大量的分析和设计。 拟议的工作旨在加速数据收集和评估的过程，以缩短预后和健康管理（PHM）研究的生命周期。 该工作计划探索一个具有统一系统方法的框架，以确保剩余使用寿命（RUL）估计的准确性，这对于有效的健康管理至关重要。 拟议的工作有望显着改进估计工业设备使用寿命的方法，从而实现运行生产系统的有效维护并降低总体成本。这项工作得到了行业咨询委员会以及该中心各个行业成员的支持，并且有可能凭借该工作建立的框架来扩展该中心的投资组合。 该中心将让研究生、教师和本科生参与工作，并强调少数民族和女学生的参与。