I-UCRC: The University of Texas at Austin Site of the I-UCRC on Intelligent Maintenance Systems

德克萨斯大学奥斯汀分校的I/UCRC智能维护系统（IMS）旨在追求和理解解决复杂工程系统基于条件和预测性维护的科学和实践挑战的方法。 该网站计划扩大正在进行的IMS研究与新的想法和重点，包括半导体制造，汽车技术，石油工业，可再生能源，发电厂和生物医学的预测性维护。德克萨斯大学奥斯汀分校打算补充现有的国际监测系统的努力，重点是在复杂的工程系统中采用新的诊断和故障诊断方法，利用先进的诊断和预测性维护方法监测人体系统，并在分布式系统中进行维护决策，分布式资源的可用性有限，供需特性不确定。 据估计，美国经济花费超过1万亿美元用于维护关键资产，其中超过33%的成本浪费在无效的维护上。这些维护系统的优化有可能大大提高整体工业生产率。 得克萨斯大学奥斯汀分校的IMS网站打算将其带来的研究成果扩展到以前没有从预测性维护研究中受益的新行业。该网站计划通过与工业合作伙伴的定期会议，向工业和工业界开放的诊断和维护短期课程，定期参加相关会议并发表论文，以及与美国和国外大学的合作伙伴关系，广泛传播研究成果。他们打算通过利用UT在这方面提供的巨大基础设施，积极促进学生和研究人员之间的多样性。

The University of Texas at Austin site for the I/UCRC for Intelligent Maintenance Systems (IMS) intends to pursue and understand methods addressing the scientific and practical challenges of condition-based and predictive maintenance of complex engineering systems. The site plans to expand the on-going IMS research with new ideas and foci including predictive maintenance in semiconductor manufacturing, vehicle technologies, oil industry, renewable energy, power plants and biomedicine. The University of Texas at Austin site intends to complement existing IMS efforts through focus on new approaches to diagnostics and prognostics in complex engineering systems, utilization of advanced diagnostics and predictive maintenance methods for monitoring of systems in a human body, and maintenance decision-making in distributed systems, with limited availability of distributed resources and uncertain supply and demand characteristics. It is estimated that the US economy spends more than $1 trillion for maintenance of critical assets, with more than 33% of these costs being wasted on ineffective maintenance. Optimization of these maintenance systems has the potential to greatly improve overall industrial productivity. The University of Texas at Austin Site of IMS intends to extend the research outcomes it brings to the center to new industries that have formerly not benefited from predictive maintenance research. The site plans to broadly disseminate research results through regular meetings with industrial partners, short courses on diagnostics and maintenance open to industry and academe, regular participation and publication in relevant conferences, and partnerships with universities in the US and abroad. They intend to actively promote diversity among students and researchers by leveraging the tremendous infrastructure UT offers in this regard.