A Planning Grant for the Establishment of a Industry/ University Cooperative Research Center on Intelligent Maintenance Systems

Chan智能维护系统可以显著减少设备维修或停机时间，并显著提高生产率。业界正在寻求将这种类型的预测放在芯片上，以用于大量应用。这笔规划拨款将资助一次行业/大学会议，以确定威斯康星-密尔沃基大学的工业/大学智能维护系统合作研究中心是否可行和可行。拟建中心的研究项目包括：1)智能维护的数据管理和物流规划2)使用马尔可夫模型研究机器退化3)智能维护系统中总体预测性维护的优化4)通过分层建模优化机械系统的预见性5)IMS6)可扩展硬件平台的设计6)远程服务和维护系统(TMS)的容错设计方法7)通过马尔科夫模型进行机器性能评估和预测利用超声波在线监测刀具状态9)电机驱动用半导体器件的预测10)配电系统运行维护的可靠性模型6)容差

ABSTRACTEEC-9909107ChanIntelligent maintenance systems can significantly reduce equipment repair or down time and markedly increase productivity. Industry is seeking to have this type of prognostics on a chip available for great many applications. This planning grant is funding an industry/university meeting to determine if an Industry/University Cooperative Research Center on Intelligent Maintenance Systems at the Universtiy of Wisconsin-Milwaukee is feasible and viable.The research projects envisioned for the proposed center are:1) Data Management and Logistics Planning for Intelligent Maintenance2) Study of Machine Degradation using Markov Modeling3) Optimization for Total Predictive Maintenance in Intelligent Maintenance Systems4) Prognostics of Mechanical Systems through Hierarchical Modeling5) Design of Scalable Hardware Platform for IMS6) Tolerance Design Methodology (TDM) for Teleservice and Maintenance System (TMS)7) Machine performance Assessment and Forecasting via Internet/Intranet8) On-line Monitoring of Cutting Tool Condition using Ultrasound Waves9) Prognostics of Semiconductor Devices for Motor Drives10) A Reliability Model for the Maintenance of Electric Distribution System Operation6) Tolerance